LUCID-SAE: Learning Unified Vision-Language Sparse Codes for Interpretable Concept Discovery

Difei Gu, Yunhe Gao, Gerasimos Chatzoudis +6

Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS

Can Jin, Yang Zhou, Qixin Zhang +8

AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration

Jiaqi Liu, Shi Qiu, Mairui Li +33

Towards General Computer Control with Hierarchical Agents and Multi-Level Action Spaces

Zihan Dong, Xinyu Fan, Zixiang Tang +1

RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains

Haoxiang Jiang, Zihan Dong, Tianci Liu +5

RIMS: Preference Optimization via Smoothed Multi-pair Aggregation for Small-Scale LLM Retrieval-Augmented Generation

Pei Tian, Zihan Dong, Tianci Liu +2

MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning

Peng Xia, Jinglu Wang, Yibo Peng +10

ManuRAG: Multi-modal Retrieval Augmented Generation for Manufacturing Question Answering (Early Version)

Yunqing Li, Zihan Dong, Farhad Ameri +1

Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming

Zhengdong Zhang, Zihan Dong, Yang Shi +3

Labels or Preferences? Budget-Constrained Learning with Human Judgments over AI-Generated Outputs

Zihan Dong, Xiaotian Hou, Ruijia Wu +1

Enhancing Bloodstain Analysis Through AI-Based Segmentation: Leveraging Segment Anything Model for Crime Scene Investigation

Zihan Dong, ZhengDong Zhang

Evaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical Reasoning via Comparative Signals

Zihan Dong, Zhixian Zhang, Yang Zhou +3

Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising

Tianci Liu, Zihan Dong, Linjun Zhang +5

Self-Consolidating Language Models: Continual Knowledge Incorporation from Context

Zekun Wang, Anant Gupta, Zihan Dong +1

How Benchmarks Mis-Score Computer-Use Agents

Zihan Dong, Zhiyuan Ma, Zekun Wang +5

The paper examines how current benchmarks for computer-use agents often give inaccurate scores due to issues in task design, trajectory observation, scoring, and reporting, and pro…

Single Canonical Prompts Underestimate LLM Safety's Surface-Form Sensitivity

Yongxi Zhou, Junwei Yao, Yuanzhe Liu +4

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing

Tianci Liu, Ruirui Li, Zihan Dong +6

Why Are GUI Agents Correct but Late? Decode on the Decision-Time Critical Path, Tested with Pre-Compiled Policy Trees

Zihan Dong, Rui Qian, Qishi Zhan +3

The paper introduces Adaptive Anticipatory Policy Trees (AAPT), a method that pre‑computes conditional action trees during idle screen time so GUI agents can react instantly to eve…

All-fiber highly efficient delivery of 2 kW laser over 2.45 km hollow-core fiber

Jing Shi, Binyu Rao, Zilun Chen +16

Evidence Over Plans: Online Trajectory Verification for Skill Distillation

Yang Zhou, Zihan Dong, Zhenting Wang +7

Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion Models

Zekun Wang, Anant Gupta, Zihan Dong +1

FNSPID: A Comprehensive Financial News Dataset in Time Series

Zihan Dong, Xinyu Fan, Zhiyuan Peng

Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training

Ran Xu, Tianci Liu, Zihan Dong +6

Conformal Path Reasoning: Trustworthy Knowledge Graph Question Answering via Path-Level Calibration

Shuhang Lin, Chuhao Zhou, Xiao Lin +5

AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play

Ran Xu, Yuchen Zhuang, Zihan Dong +7

DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation

Yang Zhou, Can Jin, Zihan Dong +7

Decompose Sparsely Where You Should, Absorb Densely Where You Should No

Ruixuan Deng, Zehao Jin, Zekun Wang +1

Contrastive Network Representation Learning

Zihan Dong, Xin Zhou, Ryumei Nakada +2