arxiv
Score 23.2
2026-08-07 · Valentin Liévin, Samuel Schmidgall, Tim Strother, Alex Bijamov, Akshay Goel, Anil Palepu, Chunjong Park, Vahid Balazadeh, Min Woo Sun, Marius Guerard, Justin Chen, Dave Steiner, Vikram Dhillon, Ibrahim Azar, Akhil Mehta, Nicholas Spetsieris, Shilpan Shah, Maen Abdelrahim, Amit Dahiya, Yun Liu, Katherine Chou, Yossi Matias, Avinatan Hassidim, Dale R. Webster, Quoc V. Le, Raia Hadsell, Joelle Barral, Carey Radebaugh, Aleksandra Faust, Shekoofeh Azizi, Mike Schaekermann, Po-Hsuan Cameron Chen, Tao Tu, David Racz, Lin Yang
General AI
In medical education, physicians convert academic knowledge into clinical expertise through residency: years of training across thousands of encounters, with diverse sources of feedback and progressively greater autonomy. Much of clinical reasoning relies on the patient encounter, a dialogue in which a clinician elicit…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 20.2
2026-08-07 · Jiacheng Miao, Jin Mu, Guanhua Chen, James Zou
General AI
Reliable hypothesis testing is the foundation of many empirical scientific claims. Large language model (LLM) agents are increasingly used to automate this process, as they can inspect datasets, generate code, and produce analyses end-to-end. However, we show that they frequently make subtle inferential errors that lea…
- Review
- pending
- Role
- unreviewed
- Read
- now
huggingface
Score 19.0
2026-08-03 · Haonan Chen, Chu Li, Zhicheng Wang, Yuanwei Liu, Yuanjiang Wang, Shaohua Jiang, Zhicheng Dou
General AI
Multimodal representation learning is a cornerstone of modern AI. By encoding multimodal queries and targets into vectors, it powers industrial search and recommendation and underpins modern agents. Real-world platforms with complex modalities and massive-scale content, such as Douyin, Xiaohongshu, and YouTube, demand …
- Review
- pending
- Role
- unreviewed
- Read
- now
huggingface
Score 18.4
2026-08-06 · Xichen Zhang, Guankai Li, Yinghao Zhu, Shijian Wang, Sitong Wu, Shaozuo Yu, Meng Chu, Yuan Lu, Jiaya Jia
General AI
Deploying autonomous multimodal agents in continuous, real-world environments requires them to ingest unbounded audio-visual streams and maintain hour-scale memory. However, current evaluations predominantly rely on brief clips and multiple-choice formats. This design allows minimal baselines that process only the last…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 18.2
2026-08-07 · Zhen Liu, Wenli Huang, Wei Song, Yuhan Liu, Zhiqin Yang, Jingwen Fu
General AI
Visual-token pruning can substantially reduce the inference cost of multimodal large language models (MLLMs), yet existing methods largely rely on fixed, handcrafted heuristics and costly expert trial and error. As pruning objectives, budgets, and model architectures diversify, manually navigating the expanding design …
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 18.2
2026-08-07 · Dazhuo Qiu, Yingli Zhou, Amedeo Pachera, Angela Bonifati, Andrea Mauri
General AI
Modern AI is no longer a single model but an ecosystem: classical ML predictors, deep and multimodal models, large language models, and agents, each trained and tuned over different data sources and each producing outputs at scale that become inputs to the others. Operating such an ecosystem is fundamentally a data int…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 17.2
2026-08-07 · Rodrigo Ferreira Rodrigues, Karim Radouane, Jose G Moreno, Lynda Tamine
General AI
In the context of geodata, existing Large Language Models have often been studied in a homogeneous setting, which has considerably limited insights into their generalization capabilities. In this paper, we present \benchName, a comprehensive benchmark for probing LLMs on geo-related tasks. We leverage a careful selecti…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 16.2
2026-08-07 · Shibo Gao, Chongxiao Wang, Chenglong Huang, Jie Ma, Haolin Shi, Fei Ding, Jing Li, Qiang Lyu, Yangyang Liu, Yang Liu, Jun Liu, Linlin Huang, Peipei Yang
General AI
Real-world video reasoning often involves multimodal, multi-source inputs, whereas existing video reasoning tasks typically assume a simplified video-text setting, limiting identity matching and person-centric reasoning. To bridge this gap, we introduce the Identity-conditioned Queries (ICQ) task, in which models are r…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 16.2
2026-08-07 · Daniel Armstrong, Xuan-Vu Nguyen, Octavian Susanu, Gabriel Gibberd, Théo A. Neukomm, Taddäus Strunden, Dan Forster, Morgane Delattre, Shawn Teh, Clément Rols, John Federice, Hayden Leatherwood, M. Lavelle Barnes, Maarten R. Dobbelaere, Peter Wipf, Jon T. Njardarson, Jieping Zhu, Philippe Schwaller
General AI
The total synthesis of a complex molecule is among the most demanding intellectual and experimental feats in chemistry: a chemist must plan many steps ahead for how to assemble simple building blocks into an intricate target, devise backup strategies, and anticipate procedural challenges. It is also a profoundly creati…
- Review
- pending
- Role
- unreviewed
- Read
- now
huggingface
Score 15.4
2026-08-07 · Junbo Li, Boyi Liu, Canwen Xu, Yite Wang, Yuxiong He, Zhangyang Wang, Qiang Liu, Zhewei Yao
General AI
Recent systems for optimizing prompts, programs, and ML workflows typically rely on explicit outer-loop controllers such as evolutionary search, bandits, or textual-gradient methods. We ask a fundamentally different question: how much of this search policy can be internalized by a single tool-using agent? We present Re…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 15.2
2026-08-07 · Mohammad Amanlou, Parham Abed Azad, Farbod Davoodi, Mostafa Masumi, Behnam Bahrak, Abdol-Hossein Vahabie
General AI
Human-like cognition does not select past experience by topical similarity alone: affective significance and unresolved conflict also shape what becomes accessible. We present PsychoAgent, a cognitive architecture for LLM agents that separates factual and affective memory and integrates both through a conflict-aware ex…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 14.9
2026-08-07 · Zhi Li, Tao Zhou, Yeqing Li, Eugene Ie, Demetri Terzopoulos
Research Track B · General AI
Delegating a web task involves more than asking a question; it requires transferring a policy: what to verify, how to handle uncertainty, which preferences matter, and when to stop. Yet, current live-web agents are evaluated solely on the final answer, ignoring the policy constraints that define the delegation. A plaus…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 14.2
2026-08-07 · Yan Zhou, Yue Ouyang, Kaiyang Zheng, Suncheng Xiang
Research Track A · General AI
Long-term memory enables language agents to reuse past facts, preferences, and task experience. Persistence also creates a central falsifiability problem: when the world changes, stale memories can remain retrievable and pollute the prompt. We characterize this failure mode as memory pollution: degradation caused by ac…
- Review
- pending
- Role
- unreviewed
- Read
- now
huggingface
Score 13.4
2026-08-06 · Kejian Zhu, Zhuoran Jin, Shangqing Tu, Hongbang Yuan, Yushi Bai, Kang Liu, Juanzi Li, Jun Zhao
General AI
Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) exhibit fundamentally different behaviors in enhancing multi-task reasoning for large language models (LLMs). Our preliminary experiments revealed a phenomenon: SFT suffers from severe task conflicts under multi-stage training, whereas RL enables stable coexi…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 13.2
2026-08-07 · MY Pitsane, Hope Mogale
Research Track A · General AI
Agentic coding faces growing problems of affordability and wasted tokens. We introduce Blast Radius, a predictive memory management layer that estimates an incoming prompt's reach through coupled context and code channels. NECROPHORESIS enables reversible eviction by archiving dead context verbatim, while Recurring Dea…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 13.2
2026-08-07 · Yuehao Huang, Yunzi Wu, Xiaotao Zhang, Xinhai Li, Jiankun Dong, Jiajun Lv, Chi Zhang, Chenjia Bai, Yong Liu, Xuelong Li
General AI
Recent vision-language navigation (VLN) systems increasingly adapt pretrained vision-language models (VLMs) into vision-language-action (VLA) policies that map egocentric observations and language instructions directly to navigation actions. Although semantically capable, such action-centric training does not explicitl…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 12.2
2026-08-07 · Yan Zhou, Yue Ouyang, Kaiyang Zheng, Suncheng Xiang
General AI
Test-time scaling is often implemented by spending more compute along one axis: sampling more solutions, extending a chain of thought, or applying a stronger evaluator. Under a fixed inference budget, these choices compete. This paper formulates test-time reasoning as a compute-allocation problem in which a system must…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 12.2
2026-08-07 · Ananya Sahu, Mohit Bansal, Elias Stengel-Eskin
General AI
While post-training improves the capabilities of large language models (LLMs), it generally lowers their output diversity and creativity, negatively impacting tasks that explicitly require creativity (e.g., story generation) as well as those that require it implicitly, e.g., reinforcement learning (RL). We instead prop…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 12.2
2026-08-07 · Doniyorkhon Obidov, Honggang Yu, Xiaolong Guo, Kaichen Yang
General AI
Low-rank adaptation (LoRA) enables efficient specialization and distribution of large language models through compact adapters. However, untrusted adapters introduce a supply-chain threat: a backdoored adapter can cause a model to generate harmful content, malicious code, political propaganda, or covert advertisements …
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 12.2
2026-08-07 · Zhisheng Chen, Bingfan Zeng, Bangde Cao, Zhengwei Xie, Yuxuan Li, Jinhan Li, Zheng Lu, Xiangchen Guan, Zikai Xiao, Rui Qian, Jingwei Song
General AI
Long-horizon agents rely on memory to reuse experiences, yet existing memory systems often assume that evidence can be directly consumed through a fixed representation. This leads to representation mismatch, where relevant information is available but not organized for the current decision. To this end, we propose MemP…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 12.2
2026-08-07 · Jingkai Ying, Zhijin Qin, Yuan Shen, Khaled B. Letaief
General AI
With the broad success of the Transformer architecture, token is becoming a new basic information processing unit. This trend is especially evident in multimodal large language models (MLLMs), where both visual and textual information are represented and processed as tokens. With the rapid deployment of MLLMs, the effi…
- Review
- pending
- Role
- unreviewed
- Read
- now
huggingface
Score 11.4
2026-08-06 · Mingxuan Zhang, Jiahui Han, Dadi Guo, Songze Li, Guanchu Wang, Na Zou, Dongrui Liu, Xia Hu
General AI
LLM-based agents are rapidly advancing, autonomously invoking external tools to complete multi-step tasks for users. However, agents often acquire more sensitive information than the task requires. Existing privacy benchmarks audit what the agent's response or outgoing actions disclose, but overlook the acquisition sta…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 11.4
2026-08-07 · Mingxuan Zheng, Yujin Zhou, Chuxue Cao, Boqin Yin, Yuyao Zhang, Jiapeng Sun, Shuaishuai Gong, Sirui Han, Yike Guo
Research Track A · General AI
LLM agents increasingly adapt to recurring tasks by accumulating procedural knowledge in skills. These skills are lightweight, reusable textual artifacts that are loaded into the agent's context without weight updates. Recent methods refine skills through iterative task execution, failure diagnosis, and trajectory-guid…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 11.2
2026-08-07 · Qiyanhui Lu, Han Wu, Rongjian Xu, Tingzhang Luo, Cheng Fan, Xinghao Chen, Minjing Dong, Jufeng Yang, Jianyuan Guo
General AI
Multimodal large language models (MLLMs) encode images as long visual token sequences, making prefilling and KV-cache storage expensive. Existing training-free pruning methods select tokens by importance, diversity, or spatial coverage, but treat retained tokens as interchangeable and do not explicitly track which obje…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 11.2
2026-08-07 · Afreen Alam, Evgenija Popchanovska, Ana Gjorgjevikj, Maryan Rizinski, Lubomir T. Chitkushev, Irena Vodenska, Dimitar Trajanov
General AI
Rapid adoption of large language models (LLMs) in enterprise settings has introduced operational, security, and governance risks. As generative AI applications move from pilot to production, manual harm identification and mitigation are becoming difficult to scale. Although many tools support model evaluation, adversar…
- Review
- pending
- Role
- unreviewed
- Read
- now
huggingface
Score 10.4
2026-08-06 · Kejian Zhu, Zhuoran Jin, Dongqi Huang, Hongbang Yuan, Yupu Hao, Kang Liu, Jun Zhao
General AI
Recent works train agents by constructing large-scale multimodal environment pools. However, we find that simply increasing the number of multimodal environments does not always benefit. We further analyze the limitations in current multimodal environment distributions through a series of experiments. Based on these fi…
- Review
- pending
- Role
- unreviewed
- Read
- soon
huggingface
Score 10.4
2026-08-07 · Xu Lin, WenJie Nie, Jinlong Peng, Weifu Fu, YueXiao Ma, Xiawu Zheng, Yong Liu
General AI
Generic parameter-efficient fine-tuning (PEFT) methods transferred from language models can fail silently on real-time detectors, whose heterogeneous operators and detection-specific components impose placement constraints absent from regular Transformer stacks. We propose YOLO-PEFT, a structure-aware framework that fo…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 10.2
2026-08-07 · Po-Chun Chien, Nian-Ze Lee, Armin Biere, Dirk Beyer
General AI
Formal verification of software programs and hardware designs shares the common goal of reasoning about state-transition systems, yet the two communities have largely developed separate intermediate representations and verification algorithms. This paper investigates sequential circuits as an intermediate representatio…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 10.2
2026-08-07 · Elena Dumitrescu, Gert Lek, Lydia Y. Chen, Jérémie Decouchant
General AI
Diffusion Large Language Models (DLLMs) replace autoregressive next-token prediction with iterative parallel denoising, yet their internal safety mechanisms remain poorly understood. In this work, we investigate DLLMs both as targets and as adversaries, exposing mechanistic vulnerabilities in diffusion-based alignment.…
- Review
- pending
- Role
- unreviewed
- Read
- soon
huggingface
Score 9.4
2026-08-06 · Ming Wang, Peidong Wang, Xiaocui Yang, Daling Wang, Shi Feng, Fiona Fui-Hoon Nah, Ee-Peng Lim
General AI
Personality-conditioned LLM agents (PC-Agents) are increasingly used in emotional support, social simulation, and role-playing, motivating the development of lifelong agents that remain coherent over extended interactions. A key component of such coherence is personality evolution: agents should undergo plausible, psyc…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 9.2
2026-08-07 · Gyuwan Kim, Cheoneum Park, Tao Yang
General AI
Recent optimization studies on Retrieval-Augmented Generation (RAG) have exploited chunk-level KV cache reuse to avoid processing long retrieved contexts for higher efficiency, while significant information redundancy and noise still remain in the coarse-grained chunks. This paper optimizes the Pareto frontier under lo…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 9.2
2026-08-07 · Alireza Moayedikia
General AI
Multimodal fusion architectures typically assume all modalities are available at inference, yet sensor failures, acquisition variability, and cost constraints routinely produce incomplete observations. Existing work treats modality absence as a prediction-accuracy problem, leaving a more basic question unanswered: whet…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 9.2
2026-08-07 · Chao Fei, Qingyi Si, Kaihua Liang, Yanghua Xiao, Panos Kalnis, Hongcheng Guo
General AI
Many methods for automated multi-agent system design optimize prompts and topologies during an initial design stage and then deploy the resulting system unchanged on subsequent samples. Experience from these samples is rarely consolidated into reusable system updates, while accuracy-oriented designs may incur high toke…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 9.2
2026-08-07 · Youjun Zhao, Alex Warren, Gary K. L. Tam, Rynson W. H. Lau
General AI
Recent advances in video diffusion models (VDMs) have enabled high-fidelity video synthesis. However, generating mirror reflections remains challenging because the content within a mirror must remain consistent with the surrounding scene. Existing VDMs are not specifically designed to model scene-to-mirror relationship…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 9.2
2026-08-07 · Qinfeng Li, Dalin He, Yuntai Bao, Ying Yang, Ruoxi Chen, Xinyan Yu, Lizhou Liang, Ge Su, Wenqi Zhang, Xuhong Zhang
General AI
General-purpose skills promise reusable procedural knowledge for language agents, yet semantic relevance does not guarantee execution utility: a retrieved skill may encode assumptions that conflict with the current task, execution environment, or other retrieved skills. We formalize this problem as the skill--execution…
- Review
- pending
- Role
- unreviewed
- Read
- soon
huggingface
Score 8.4
2026-08-06 · Ming Wang, Yuqing Zhang, Tingna Xie, Xiangju Li, Xiaocui Yang, Daling Wang, Shi Feng, Yifei Zhang
General AI
Creative capabilities of MLLMs matter in design, communication, education, and human--AI collaboration, yet remain difficult to evaluate because explicit targets and reward signals are scarce compared with accuracy-oriented tasks. Cross-concept understanding is a core cognitive capacity underlying receptive creativity.…
- Review
- pending
- Role
- unreviewed
- Read
- soon
huggingface
Score 8.0
2026-08-01 · Alexander Scheinker
General AI
Autoregressive models accumulate error over long rollouts, yet at deployment there is no ground truth to measure it against. We train a single conditional latent diffusion model that steps a dynamical system forward or backward in time via a direction flag, and show that this bidirectionality supplies a measurement-fre…
- Review
- pending
- Role
- unreviewed
- Read
- soon
huggingface
Score 7.4
2026-08-07 · Ruijie Hou, Yueyang Jiao, Zhao Wang, Yingming Li
General AI
Test data from public benchmarks inevitably leaks into pretraining corpora, inflating evaluation scores once memorized. Contamination mitigation evaluation intervenes in the decoding process to suppress memorization and restore a contaminated model's genuine capability, but its prevailing metric, the G-AP (Gap of Aggre…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 7.2
2026-08-07 · Syed Furqan Abbas Hashmi, N. Sanjay Rebello
General AI
Large language model (LLM) tutors are being deployed in introductory physics courses at a scale that produces transcript corpora far larger than traditional qualitative coding can absorb. A central question for physics education research (PER) is empirical and prior to any claim about effectiveness: what do students ac…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 7.2
2026-08-07 · Yujia Hu, Tuan-Phong Nguyen, Simon Razniewski
General AI
We present a web demo for exploring a large-scale disambiguated knowledge base (KB) materialized from a large language model (LLM). GPTKB 2.0 contains 38.4M triples over 1.6M canonical entities, together with 207.6K consolidated relations and 66K consolidated classes. Unlike prior LLM-derived knowledge bases that large…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 7.2
2026-08-07 · Rahul Murali Shankar, Titus von der Malsburg, Sebastian Padó
General AI
The recent advances in neural language models have also spurred much work in computational psycholinguistics, asking whether neural LMs are also promising models of human language processing. However, work has been overwhelmingly focused on the unimodal case of written or spoken language. In contrast, multimodal experi…
- Review
- pending
- Role
- unreviewed
- Read
- soon
huggingface
Score 6.4
2026-08-05 · Junzhuo Liu, Weiwei Li, Jun Ling, Peng Wang
General AI
Privileged on-policy distillation provides dense supervision for multi-turn agents by allowing a synchronized teacher to re-score the student's response at every turn with access to training-only references, such as successful trajectories. In interactive environments, however, the student's preceding actions continual…
- Review
- pending
- Role
- unreviewed
- Read
- later
huggingface
Score 6.4
2026-08-06 · Michael Tran, Fred Lewis, Kun Yang, Saksham Thakur, Aditya Kini, Aditya Patil, Milad Hashemi, Parthasarathy Ranganathan
General AI
The widespread integration of AI coding assistants offers undeniable boosts to engineering velocity. Yet, recent studies point to a growing trade-off, revealing persistent challenges with code quality and maintainability. Industry leaders, including frontier AI labs, echo these concerns. As large language models are in…
- Review
- pending
- Role
- unreviewed
- Read
- later
arxiv
Score 6.2
2026-08-07 · Ruochen Jin, Zhanliang Wang, Zongyu Dai, Jiancong Xiao, Bojian Hou
General AI
Preference alignment often makes large language models (LLMs) overconfident and poorly calibrated. Traditional post-hoc temperature scaling is inherently domain-dependent: a temperature fitted on one domain does not generalize across domains. This motivates us to modify model parameters during training to improve calib…
- Review
- pending
- Role
- unreviewed
- Read
- later
arxiv
Score 6.2
2026-08-07 · Bella Xinrui Li, Frank Yingjie Huo, Neil F Johnson
General AI
What will happen when AI agents interact in daily life, e.g. when one AI starts bossing another around? We find a counterintuitive answer that opens new avenues for out-of-equilibrium Physics. When a boss AI directs a stream of messages at the subordinate AI while ignoring its replies, it drives the subordinate into an…
- Review
- pending
- Role
- unreviewed
- Read
- later
arxiv
Score 6.2
2026-08-07 · Zhihao Xie, Hongye Yang, Shien Liu
General AI
SetEasy optimizes classroom engagement in fixed seating grids. It fuses multimodal sensing (wristband physiology, 4K video, environmental data) and trains a v-Gage model grounded in a revised ISEQ. Each week, two-week engagement forecasts are mapped to a student-seat utility matrix, and CP-SAT generates seating plans u…
- Review
- pending
- Role
- unreviewed
- Read
- later
huggingface
Score 5.4
2026-08-07 · Bohao Tang, Zhen Qin, Yuqi Pan, Zheng Li, Pengfei Liu, Ya Zhang
General AI
Test-time training (TTT) views sequence modeling as an online learning problem in which fast weights are updated by an internal learning rule. Despite the growing number of TTT variants, existing approaches typically hard-code each variant separately, which makes it difficult to design new TTT methods and to isolate th…
- Review
- pending
- Role
- unreviewed
- Read
- later
arxiv
Score 5.2
2026-08-07 · Xiaolin Bu, Biaoshuai Tao
General AI
Sequential allocation mechanisms contain a class of widely studied mechanisms (e.g., round-robin) in the fair division of indivisible goods, where agents take turns picking items in a predefined picking order. It is known that the sequential allocation mechanisms are not truthful: when an agent's most preferred item is…
- Review
- pending
- Role
- unreviewed
- Read
- later
arxiv
Score 5.2
2026-08-07 · Zongchuang Zhao, Xin Zhou, Tianyang Xu, Zhengyang Sun, Kaixuan Zhou, Honglin Li, Dingkang Liang, Xiang Bai
General AI
World-Action Models (WAMs) improve end-to-end autonomous driving by transferring video dynamics priors to action prediction, but existing methods require costly future generation at inference. We present SimWAM, a simple yet effective WAM that uses video generation purely as a training signal. It co-trains a pretrained…
- Review
- pending
- Role
- unreviewed
- Read
- later
arxiv
Score 5.2
2026-08-07 · Ziye Song, Zhao Wei, Xin Yu, Ivor Tsang, Yueming Lyu
General AI
Pretrained partial differential equation (PDE) foundation models can generalize across different equations, but adapting them to unseen PDE systems typically requires dense solution data, which is often expensive or unavailable. To address this limitation, we propose an unsupervised PDE-based finetuning framework that …
- Review
- pending
- Role
- unreviewed
- Read
- later