Papers
Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models
Jia Deng, Junyi Li, Xin Zhao et al.
Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding
Shunqi Mao, Chaoyi Zhang, Weidong Cai
AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments
Zhiheng Xi, Dingwen Yang, Jiaqi Liu et al.
AIPO: Adaptive Information Guided Token-Level Reinforcement Learning for Large Language Model Reasoning
Bin Chen, Hongfei Ye, Huiyang Wang et al.
SafeConstellations: Mitigating Over-Refusals in LLMs Through Task-Aware Representation Steering
Utsav Maskey, Sumit Yadav, Mark Dras et al.
Automatic and Reliable Evaluation for Academic Caption-to-Figure Generation with LMMs
Guanghui Ye, Huan Zhao, Qin Zhu et al.
rSIM: Incentivizing Reasoning Capabilities of LLMs via Reinforced Strategy Injection
Sijia Chen, Baochun Li, Di Niu
Understanding the Prompt Sensitivity
Yang Liu, Chenhui Chu
GUI0: Self-Evolving Foundational GUI Agents in Super App Ecosystems
Xinyi Wang, Wei Dai, Kyle Qiao et al.
Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization
Haochun Tang, Yuliang Yan, Jiahua Lu et al.
DarwinTOD: LLM-Driven Lifelong Self-evolution for Task-oriented Dialog Systems
Shuyu Zhang, Yujie Liu, Xinru Wang et al.
Do MLLMs Capture How Interfaces Guide User Behavior? A Benchmark for Multimodal UI/UX Design Understanding
Jaehyun Jeon, Min Soo Kim, Janghan Yoon et al.
ReTRE: Benchmarking LLM Transfer Robustness with Structure-Preserving Variants
ZhongDong Li, Weijie Shi, Yue Cui et al.
ParaSuite: Boosting LLM Reasoning via Paradox Resolution
Bin Chen, Yu Zhang, Hongfei Ye et al.
Feeling Right vs. Being Right: How AI Sycophancy Affects Value-Laden Deliberation
Jeongwoo Ryu, Soomin Kim, Jinsu Eun et al.
MTRouter: Cost-Aware Multi-Turn LLM Routing with History–Model Joint Embeddings
Yiqun Zhang, Hao Li, Zihan Wang et al.
Nature-Inspired Population-Based Evolution of Large Language Models
Yiqun Zhang, Peng Ye, Xiaocui Yang et al.
POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering
Yichen Xu, Liangyu Chen, Liang Zhang et al.
Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding
Ke Ma, Jiaqi Tang, Bin Guo et al.
Investigating Counterfactual Unfairness in LLMs towards Identities through Humor
Shubin Kim, Yejin Son, Junyeong Park et al.
MTA:A Merge-then-Adapt Framework for Personalized Large Language Models
Xiaopeng Li, Yuanjin Zheng, Wanyu Wang et al.
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
Zheng Luo, T Pranav Kutralingam, Ogochukwu N. Okoani et al.
CT-FineBench: A Diagnostic Fidelity Benchmark for Fine-Grained Evaluation of CT Report Generation
Ruifeng Yuan, Wanxing Chang, Weiwei Cao et al.
Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents
Ziyi Wang, Yuxuan Lu, Yimeng Zhang et al.
The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check
Qingyu Lu, Liang Ding, Kanjian Zhang et al.