activity
20202026
most citedDISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services

26 citations · 89 across the 49 of their papers we have counts for

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Showing 2026Show all

13 papers · 1 filter

cs.CL2026

ARBOR: Locating Reasoning Failures in Long Chains of Thought through Reasoning State Tracking

Huihan Li, Siyuan Wang, Naga Vamsi Ramana Dinavahi +2

Large reasoning models solve complex problems through long chains of thought, in which prior work has documented failure modes such as overthinking, underthinking, and unsupported…

cs.MA2026

MECoBench: A Systematic Study of Multimodal Agent Collaboration in Embodied Environments

Qingyun Liu, Jiwen Zhang, Jingyi Hu +2

Recent multimodal large language models (MLLMs) have strong potential as embodied agents, but their ability to collaborate in visually grounded environments remains underexplored.…

cs.CY2026

Uncovering Salience-Driven Dynamics in Consumer Confidence with Generative Social Simulation

Yixu Huang, Yunlu Yin, Jiayu Lin +6

Consumer confidence is typically modeled as a persistent macroeconomic index, yet its movements arise from households that interpret economic information through heterogeneous cons…

cs.CV2026

LIBERO-Occ: Evaluating and Improving Vision-Language-Action Models under Scene-Induced Occlusion via Viewpoint Imagination

Taishan Li, Jiwen Zhang, Siyuan Wang +2

Vision-Language-Action (VLA) models achieve strong performance on standard manipulation benchmarks, but most evaluations assume that task-relevant objects are fully visible. This a…

cs.CL2026

Can Agents Read the Room? Benchmarking Visual Social Intelligence in Multimodal Simulation

Shijun Wan, Xuehai Wu, Jiwen Zhang +2

Social interaction depends on both language and visible social signals, such as facial expressions, posture, gaze, and emotional shifts. Yet existing social-agent benchmarks are la…

cs.CL2026

HyLaT: Efficient Multi-Agent Communication via Hybrid Latent-Text Protocol

Xinyi Mou, Siyuan Wang, Zejun Li +2

Communication protocol design is a central challenge in large language model-based multi-agent systems. Existing single-channel approaches face an inherent communication trilemma:…

cs.RO2026

SpatialAnt: Autonomous Zero-Shot Robot Navigation via Active Scene Reconstruction and Visual Anticipation

Jiwen Zhang, Xiangyu Shi, Siyuan Wang +3

Vision-and-Language Navigation (VLN) has recently benefited from Multimodal Large Language Models (MLLMs), enabling zero-shot navigation. While recent exploration-based zero-shot m…

cs.CV2026

UniReason 1.0: A Unified Reasoning Framework for World Knowledge Aligned Image Generation and Editing

Dianyi Wang, Chaofan Ma, Feng Han +8

Unified multimodal models often struggle with complex synthesis tasks that demand deep reasoning, and typically treat text-to-image generation and image editing as isolated capabil…

cs.CV2026

DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing

Dianyi Wang, Ruihang Li, Feng Han +17

Current unified multimodal models for image generation and editing typically rely on massive parameter scales (e.g., >10B), entailing prohibitive training costs and deployment foot…

cs.CL2026

Segment-Level Attribution for Selective Learning of Long Reasoning Traces

Siyuan Wang, Yanchen Liu, Xiang Ren

Large Reasoning Models (LRMs) achieve strong reasoning performance by generating long chains of thought (CoTs), yet only a small fraction of these traces meaningfully contributes t…

cs.AI2026

MAGNET: Towards Adaptive GUI Agents with Memory-Driven Knowledge Evolution

Libo Sun, Jiwen Zhang, Siyuan Wang +1

Mobile GUI agents powered by large foundation models enable autonomous task execution, but frequent updates altering UI appearance and reorganizing workflows cause agents trained o…

cs.CL2026

Interleaved Latent Visual Reasoning with Selective Perceptual Modeling

Shuai Dong, Siyuan Wang, Xingyu Liu +3

Interleaved reasoning paradigms enhance Multimodal Large Language Models (MLLMs) with visual feedback but are hindered by the prohibitive computational cost of re-encoding pixel-de…

cs.CV2026

SpatialNav: Leveraging Spatial Scene Graphs for Zero-Shot Vision-and-Language Navigation

Jiwen Zhang, Zejun Li, Siyuan Wang +3

Although learning-based vision-and-language navigation (VLN) agents can learn spatial knowledge implicitly from large-scale training data, zero-shot VLN agents lack this process, r…