huggingface
Score 22.4
2026-08-06 · Yifan Shen, Jian Xu, Boyi Li, Yuner Zhang, Tianjiao Yu, Bingxuan Li, Houze Yang, Rushi Wang, Xu Cao
General AI
Multimodal large language models excel at passive perception but struggle with complex visual cognitive tasks requiring multi-step temporal reasoning. This degradation largely stems from the inherent ambiguity of language-based reasoning, which often fails to accurately articulate continuous visual transformations. To …
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 21.2
2026-08-06 · Zelong Sun, Jun Wang, Kaicheng Yang, Tiancheng Gu, Ziyong Feng, Zhiwu Lu
General AI
Unified multimodal retrieval aims to identify candidates that satisfy complex user intent expressed through heterogeneous inputs. Although Large Vision-Language Model (LVLM)-based retrievers are efficient and scalable, directly encoding raw multimodal inputs often misses fine-grained discriminative cues, leading to con…
- Review
- pending
- Role
- unreviewed
- Read
- now
huggingface
Score 18.4
2026-08-06 · Zishan Xu, Zhiyuan Yao, Yuxin Chen, Yifu Guo, Zhengxi Lu, Yuquan Lu, Jinyang Huang, Yan Xu, Yasheng Wang, Weinan Zhang, Xingshan Zeng, Weiwen Liu
General AI
Training large language model agents for long-horizon tool use typically relies on interactions with real or synthesized executable environments, whose construction and verification are costly, or on external simulators that are difficult to ground. We introduce EnvACE, an agentic reinforcement learning method that rep…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 18.4
2026-08-06 · Jiaming Wei, Zekun Wu, Adriano Koshiyama, Maria Perez-Ortiz
Research Track B · General AI
Web agents observe a browser through text, pixels, or both, and the choice is usually fixed once for all tasks. We measure six observation modes across eight site-model combinations (cells) on VisualWebArena and WebArena and ask what choosing per task would buy. The modes are complementary: each solves tasks the others…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 18.2
2026-08-06 · Jonas Gann, Michael Gertz
General AI
Retrieval-augmented generation (RAG) improves question answering by grounding large language models (LLMs) in external knowledge such as text corpora. However, its reasoning process remains largely opaque: intermediate reasoning steps are difficult to verify and cannot be reliably attributed to specific evidence. Moreo…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 17.2
2026-08-06 · Abdulkadir Külçe, Alihan Esen, Cağla Fikir, Berke Kurt, Kuzey Arar, Gökhan Ercan, Faik Boray Tek
General AI
This paper presents ECHO (Enhanced Care \& Health Observer), a locally-deployable conversational health assistant for long-term chronic care management. ECHO integrates three complementary software modules developed under shared supervision as a unified system. The core module is an agentic chatbot built on a ReAct loo…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 17.2
2026-08-06 · Soorya Ram Shimgekar, Michelle Hu, Dorisa Shehi, Daniel Kang, Roy Ka-Wei Lee, Koustuv Saha, Christian Poellabauer, Christopher Lee, Sajeev Singh, Piyum Zonooz, Navin Kumar, Zeeshan Ahmed, Priyadarshini Kachroo
General AI
Electronic health record (EHR) feature engineering is a major bottleneck in clinical research and AI, accounting for 39-45% of data scientists' workload. This is especially pronounced in heart failure, which affects an estimated 6.7 million U.S. adults and requires integrating fragmented EHR data with disease-specific,…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 16.2
2026-08-06 · ZhiYan Hou, Xinyu Tang, Hongyan An, Jianjin Zhang, Weizhen Wang, Yunyun Han, Gengsheng Li, Xiangzhao Hao, Haiyun Guo, Wenbin Hu, Jinqiao Wang, Yafeng Deng
General AI
Reinforcement learning with verifiable rewards (RLVR) improves the reasoning capabilities of large language models using automatically verifiable outcome signals, but these signals are typically sparse and at the sequence-level. On-policy self-distillation (OPSD) mitigates this sparsity by querying a privileged teacher…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 15.2
2026-08-06 · Fardin Afdideh, Fernando Seoane, Farhad Abtahi
Research Track A · General AI
Post-training adaptation has become central to modern machine learning practice and includes techniques such as retraining, fine-tuning, parameter-efficient adaptation, alignment, retrieval augmentation, model editing, unlearning, calibration, and Multimodal Instruction Tuning. However, the literature remains fragmente…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 15.2
2026-08-06 · Tao Wang, Qihao Yang, Rongjiao Liang, Lianghong Lin, Haitao Wang, Xinyu Cao, Tianyong Hao
General AI
Large language models (LLMs) increasingly support complex professional tasks, yet their capabilities in rule-intensive document review remain insufficiently evaluated. National standard documents, such as China GB/T standards, offer a representative testbed: they are lengthy, highly structured, and governed by explicit…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 15.2
2026-08-06 · Qifeng Zhang, Kaixiang Huang, Heng Dong, Huang Fang, Junting Chen, Junjie Zhu, Yonghang Chen, Zhiyu Zhang, Wei Li
General AI
Spatial intelligence is fundamental to embodied agents, yet existing benchmarks focus on local spatial perception from single or few viewpoints, overlooking global spatial awareness over continuous, long-horizon visual streams. To address this limitation, we introduce the Global-Spatial-Temporal Benchmark (GST-Bench), …
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 14.4
2026-08-06 · Zhiyan Hou, Dan Zhang, Tao Feng, Liyuan Wang, Wei Li, Xiangzhao Hao, Hongyan An, Junfeng Fang, Haokai Ma, Zhaohui Xu, Haiyun Guo, Jinqiao Wang, Tat-Seng Chua, Xinyu Tang
Research Track A · General AI
Classical continual learning (CL) has primarily focused on enabling models to update and retain knowledge through parameter-centric mechanisms, e.g., training strategies, architectural designs, and weight adaptation. However, emerging paradigms are reshaping the scope of CL beyond this traditional model adaptation view…
- Review
- pending
- Role
- unreviewed
- Read
- now
huggingface
Score 14.4
2026-08-06 · Varun Ursekar, Apaar Shanker, Yash Maurya, Shehab Yasser, Vijay S. Kalmath, Veronica Chatrath, Yuan Xue
General AI
As LLMs are increasingly deployed within agentic systems, their capabilities depend not only on the model weights but also on the harness: the prompts, tools, control flow, memory, and orchestration code surrounding them. This makes automated harness optimization -- the iterative and evaluation-guided improvement of a …
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 14.2
2026-08-06 · Dohyun Ku, Min Gu Kwak, Francisco J. Pasquel, Jing Li
General AI
Metabolomics knowledge is distributed across heterogeneous resources and remains difficult to translate into predictive representations. We developed MetaboLLM, a metabolomics-specialized large language model adapted through continual pretraining, supervised fine-tuning, and structured retrieval, together with MetaboLL…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 14.2
2026-08-06 · Ishan Patel, Sahil Sen, Elias Lumer, Vamse Kumar Subbiah
General AI
Tool use transforms LLMs into agents that act beyond their training data, and for code-capable models, programmatic tool calling extends this further by replacing rigid JSON calls with scripts that chain and parallelize naturally. However, a systematic evaluation of tools as code on an established benchmark across curr…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 13.2
2026-08-06 · Xinye Wang, Junxiao Liu, Shujian Huang
General AI
Multilingual reasoning transfer is crucial for extending reasoning capabilities of large language models (LLMs) beyond high-resource languages. On-policy self-distillation (OPSD) and its variants have emerged as a promising paradigm, providing dense token-level supervision on student-generated rollouts, yet their objec…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 13.2
2026-08-06 · Chenglong Wang, Ziming Zhu, Yifu Huo, Bei Li, Qiaozhi He, Yan Ding, Xiaoyang Hao, Yuxin Gao, Tianhua Zhou, Xiaojia Chang, Tongran Liu, Jingbo Zhu
General AI
Recent advances in reward modeling show a paradigm shift from discriminative reward models to generative reward models. However, despite their strong capabilities in response ranking, generative reward models have not realized their potential in reinforcement learning (RL). Our analysis reveals that this limitation ari…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 12.4
2026-08-06 · Xi Chen, Xu Chen, Xiangyang Jia, Wei Wang, Xu Zhang, Zhenyuan Sun
Research Track A · General AI
With the rapid growth of Earth observation technologies, remote sensing archives are rapidly expanding, making remote sensing image-text retrieval (RS-ITR) increasingly important. However, continual RS-ITR remains challenging because scale variation and distribution shifts in RS aggravate cross-modal alignment space di…
- Review
- pending
- Role
- unreviewed
- Read
- now
huggingface
Score 12.4
2026-08-06 · Ziqi Cai, Siqi Yang, Yimu Wang, Zixian Gao, Yunheng Liu, Shuchen Weng, Erwin Wu, Kaipeng Zhang, Boxin Shi
General AI
Current video world models struggle in multiplayer environments because they entangle world state with view-dependent visual latents, leading to redundant compute, view inconsistencies, and poor scalability. We propose MAS (Multiplayer world models with Authoritative Shared State) to resolve this limitation. Inspired b…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 12.2
2026-08-06 · Noam Koren, Roy Bar-Haim, Abigail Goldsteen
General AI
Task-oriented conversational agents are evaluated using curated or automatically generated benchmarks, yet benchmark quality is rarely assessed. Poor benchmarks may contain inconsistent tasks, simplistic scenarios, or limited policy coverage, leading to unreliable evaluations. We introduce a reference-free framework th…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 12.2
2026-08-06 · Omar Coser, Antonio Orvieto, Paolo Soda, Loredana Zollo
General AI
Inspired by recent evidence that transformer architectures benefit from Self-PreTraining (SPT) on long-context benchmarks, we investigate whether similar gains extend to multimodal, multivariate, and even simple univariate medical time series. Our objective is to assess the impact of SPT on the performance and scalabil…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 12.2
2026-08-06 · Chen Yang, Jiashuo Tian, Ziqi Wang, Xinyin Liu, Meiru Ye, Junjie Chen
Research Track A · General AI
Automated skill evolution enables Large Language Model (LLM) agents to continuously improve without expensive retraining. However, existing approaches typically treat skill evolution as a sequence of local updates, overlooking relationships among skills and often producing overfitted skill updates that fail to generali…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 12.2
2026-08-06 · Zhiheng Wang, Bo Peng, Lai Wei, Chaochao Lu
General AI
The "thinking-with-images" paradigm equips multimodal LLMs with active visual operations such as crop-and-zoom. However, models using these operations often achieve only marginal or negative gains over direct inference at substantially higher token cost. They may also repeatedly crop irrelevant regions and fail on ques…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 11.4
2026-08-05 · Xuying Ning, Dongqi Fu, Tianxin Wei, Hanqing Zeng, Yuanchen Bei, Bingxuan Li, Zihao Li, Qifan Wang, Xiang Shen, Yifan Wu, Jiayi Liu, Hong Li, Yinglong Xia, Xiangjun Fan, Hanghang Tong, Jingrui He
Research Track A · General AI
Long-horizon LLM agents increasingly rely on external execution support to maintain state, track progress, invoke tools, verify outcomes, and reuse experience across interactions. However, effective harness use raises two coupled challenges: state formation from noisy interaction traces and runtime control over externa…
- Review
- pending
- Role
- unreviewed
- Read
- now
huggingface
Score 11.4
2026-08-06 · Zi-Han Wang, Zhengxi Lu, Zhiyuan Yao, Jinyang Wu, Jie Wu, Zhengzhou Cai, Yueqing Sun, Ziang Ye, Linji Hao, Qi Gu, Xunliang Cai, Yongliang Shen, Yujiu Yang
General AI
Reinforcement learning (RL) with verifiable rewards constructs trajectory-level advantage estimates, yet it often fails to credit the few pivotal decisions that determine outcomes in long-horizon, multi-turn agentic tasks. Recent work introduces privileged self-distillation for credit assignment, providing denser super…
- Review
- pending
- Role
- unreviewed
- Read
- now
huggingface
Score 11.4
2026-08-06 · Jiale Han, Xiang Li, Jing Qian, Wenyuan Gu, Pin Gao, Ye Luo, Hongyuan Zha, Dacheng Tao, Benyou Wang, Lin William Cong
General AI
Economic World Models (EWMs) are generative economic models that simulate how economies evolve from within by modeling heterogeneous agents, their beliefs and actions, and the market and institutional mechanisms through which their interactions produce aggregate outcomes. This paper develops an implementation roadmap f…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 11.2
2026-08-06 · Xian Sun, Wei Chow, Yingshuo Wang, Junhao Liu, Wei Gao, Qing Wu, Lingdong Kong
General AI
Language models increasingly condition their answers on external signals, and a single misleading one can turn a correct answer wrong. The obvious remedy, training models to resist such signals, hides a failure mode: a model that ignores all context looks robust yet is useless when the context is worth trusting. We rec…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 11.2
2026-08-06 · Sarvesh Baskar, Zikui Cai, Shayan Shabihi, Anirudh Satheesh, Muhammad R. Islam, Udari Madhushani Sehwag, Tom Goldstein, Furong Huang
General AI
Real-world video benchmarks provide broad coverage, but their fixed clips entangle event count, rate, duration, and visual complexity, making failure modes hard to isolate. While existing programmatic benchmarks offer better control, they score only the final answer rather than auditing reported events against executab…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 10.9
2026-08-06 · Songpan Gao, Yajie Zhang, Guanxing Chen, Jiayu Qian, Zhenzhen Liu, Shijun Li, Xiaowei Zhu, Yao Hu, Kay Chen Tan, Yu-An Huang, Shiqi Wang, Zhi-An Huang
Research Track A · General AI
Deep learning models applied to medical image analysis suffer from severe catastrophic forgetting when continually adapting to new clinical tasks in dynamic environments. Mainstream incremental learning methods typically mitigate this by rehearsing raw historical images. However, this pixel-level rehearsal incurs signi…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 10.2
2026-08-06 · Boning Li, Yu Chen, Longbo Huang
General AI
Deciding which of two agents is stronger means playing games until skill outweighs luck, and every game costs money, model inference, or expert time. Since the number of games needed is unknown, fixed-budget evaluations either keep paying after the result is settled or stop before the agents can be told apart, while na…
- Review
- pending
- Role
- unreviewed
- Read
- now
arxiv
Score 10.2
2026-08-06 · Alexandra Newcomb, Omar Ochoa
General AI
Automatically translating unstructured natural language requirements into formal specifications remains a challenge in requirements engineering and formal methods, particularly for safety- and mission-critical systems whose verification depends on mathematically precise specifications. This paper evaluates whether cont…
- Review
- pending
- Role
- unreviewed
- Read
- now
huggingface
Score 9.4
2026-08-05 · Chunchao Guo, Jinpeng Li, Yang Li, Zilong Huang
General AI
Generating large-scale, freely explorable 3D worlds from open-ended text remains challenging because a system must jointly maintain global spatial coherence, rich local content, and explicit assets suitable for downstream editing and reuse. We present WorldClaw, a fully agentic, coarse-to-fine framework for open-world …
- Review
- pending
- Role
- unreviewed
- Read
- soon
huggingface
Score 9.4
2026-08-06 · Byeongho Heo, Jaehui Hwang, Sangdoo Yun, Dongyoon Han
General AI
On-Policy Distillation (OPD) is emerging as a promising alternative to reinforcement learning for LLM post-training, yet its effectiveness in multilingual settings remains underexplored. We study OPD and its advanced variant, On-Policy Delta Distillation (OPD^2), for mathematical reasoning in English, Korean, and Japan…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 9.2
2026-08-06 · Eoin Cummins, Zhongyi Huang, Alexandre D'Hooge, Zhuoro Mo, Yaolong Ju
General AI
Existing audio-to-score (A2S) systems primarily focus on classical music, and the application to popular music remains underexplored. This paper first presents the new SheetSage-A2S Dataset, which includes 61 hours of audio with \texttt{**kern} score encodings for 9,468 clips originating from 6,066 unique songs, the fi…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 9.2
2026-08-06 · Yijiang Li, Bingyang Wang, Yijun Liang, Yunjie Tian, Di Fu, Nuno Vasconcelos
General AI
On-policy (Self-)Distillation (OPD / OPSD) has shown strong potential for post-training large language models (LLMs). However, existing methods still rely heavily on external supervision, including ground-truth signals, environmental feedback, or guidance from larger models, and therefore fall short of genuine "self"-d…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 9.2
2026-08-06 · Yunjia Qi, Zehua Yin, Xintong Shi, Hao Peng, Songyuanyi Lu, Yixian Liu, Richeng Xuan, Yuhong Liu, Zhichao Hu, Xiaozhi Wang, Lei Hou, Bin Xu, Juanzi Li
General AI
LLM-based agentic systems have shown remarkable capabilities in complex domains, while suffering from cascading errors and difficulty in debugging. Critical error detection aims to locate the earliest error step in a failed trajectory that is responsible for the final failure. However, progress faces two main challenge…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 8.7
2026-08-06 · Mutasim Fuad Sarker, Adiba Rahman Namira, Wafa Binte Alam, Md Adnan Arefeen, Mahzabeen Emu, Sumaiya Tabassum Nimi
General AI
Cardiac arrest remains one of the most lethal conditions encountered in intensive care units. Despite the growing availability of electronic health record data, existing mortality prediction studies in this population largely depend on static summaries derived from early admission. Such approaches ignore the temporal p…
- Review
- pending
- Role
- unreviewed
- Read
- soon
huggingface
Score 8.4
2026-08-06 · Feier Wu, Wanke Xia, Xu He, Zilang Zhou, Si Chen, Dongxia Liu, Liyang Chen, Qimeng Wu, Zhengbo Zhang, Wenming Yang, Zhiyong Wu
General AI
Video object removal must eliminate not only the target object but also its induced effects while maintaining high-fidelity and spatiotemporally coherent restoration. Existing methods mainly learn object-effect correspondences implicitly from predefined effect categories and fixed data distributions, limiting their gen…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 7.2
2026-08-06 · Fanzhe Meng, Guoxin Chen, Jiale Zhao, Shuang Sun, Zhiyu Lin, Wayne Xin Zhao, Ruihua Song, Ji-Rong Wen, Kai Jia
General AI
Training terminal agents requires executable and verifiable tasks that are not merely solvable, but appropriately challenging for learning. Executable validation establishes feasibility, yet does not reveal how a task behaves relative to a given solver setting. In this paper, we present CalibForge, an autonomous termin…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 7.2
2026-08-06 · Mohammad Abboush, Hamza Ouarrad, Andreas Rausch
General AI
The pre-series validation of automotive software on hardware-in-the-loop (HIL) platforms produces large volumes of multivariate sensor recordings whose assessment against functional safety requirements exceeds what manual review can sustain at campaign scale. Threshold-based tooling reports that a deviation has occurre…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 6.2
2026-08-06 · Omar Curiel, Jing-Yuan Huang, Po-Chih Chen, Ji Ma, Qing Dai, Wenqi Zhou, David Lu, Holden H. Wu, Tsu-Chin Tsao
General AI
We present a MR safe, master-slave robot manipulator for abdominal interventions in the MRI chamber. A human operated 2+1-DoF master controller manipulator transmits motion and force to a 2+1-DoF slave manipulator via fluid transmission. Jointly, a digital master controller provides multimodal control capability beyond…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 6.2
2026-08-06 · Arya Labroo, Mengjie Qian, Kate Knill
General AI
Automatic speaking assessment systems are increasingly deployed in high-stakes settings to mark second language (L2) learners' speaking tests, making it critical to show that their scores depend on speaking proficiency rather than irrelevant speaker attributes such as first language (L1) or age. Transformer-based found…
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 6.2
2026-08-06 · Praphul Chandra, Sujit Gujar, Ganesh Ghalme
General AI
We give a formal mechanism design model for the continuous participatory governance of a deployed AI agent. The mechanism is built on the principle that governance should control an AI agent through resource allocation so as to make authorization self enforcing via compute budgets. The mechanism seeks to establish the …
- Review
- pending
- Role
- unreviewed
- Read
- soon
arxiv
Score 5.2
2026-08-06 · Zhe Li, Zhenzhe Zhang, Yangyang Wei, Wenjie Zhang, Xichen Yuan, Peiyuan Zhi, Gen Li, Xinying Guo, Fengjie Gao, Jianfei Yang, Shanghang Zhang
General AI
Humanoid household tasks often require concurrent loco-manipulation, where the robot must move, adjust posture, maintain balance, and manipulate objects as a single coordinated behavior. Yet existing humanoid policies typically decompose locomotion and manipulation, while recent world-action models remain either arm-ce…
- Review
- pending
- Role
- unreviewed
- Read
- later
arxiv
Score 5.2
2026-08-06 · Benjamin Cookson, Nisarg Shah, Paritosh Verma
General AI
We study the existence of fair and efficient allocations of indivisible goods under the balancedness constraint, which requires that any two agents' bundles differ in size by at most one. Our main result establishes the existence of balanced allocations that satisfy envy-freeness up to one good (EF1) and fractional Par…
- Review
- pending
- Role
- unreviewed
- Read
- later