Papers
EvoNarrator: Modeling Scientific Evolution for Feasible Hypothesis Generation
Xiaoying Le, Pengfei Qian, Yuanzhao Zhai et al.
From Trust to Compromise: Outcome-Verified LLM Phishing Simulation and Real-Time Defense
Tulika Tewari, Nalin Asanka Gamagedara Arachchilage, Jagat Sesh Challa et al.
Exploring Layer Activation Dynamic of CoT via Knowledge Probe
Chuanxin Zhang, Jiajun Liu, Yao He et al.
Fingerprinting LLMs via Prompt Injection
Yuepeng Hu, Zhengyuan Jiang, Mengyuan Li et al.
Why Do Emotions Change? Appraisal-Guided Reasoning for Emotion–Cause Triplet Extraction in Conversations
Qiao Liang, Ying Shen, Yao Liu et al.
Cognitive Alpha Mining via LLM-Driven Code-Based Evolution
Fengyuan Liu, Yi Huang, Sichun Luo et al.
Adaptive Prompt Structure Factorization: A Framework for Self-Discovering and Optimizing Compositional Prompt Programs
Haoyue Liu, Zhichao Wang, Yongxin Guo et al.
Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu et al.
WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics
Chenxu Liu, Yingjie Fu, Wei Yang et al.
Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents
Xiucheng Xu, Bingbing Xu, Tian Xueyun et al.
From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents
Niu Lian, Yuting Wang, Hanshu Yao et al.
Losing our Tail, Again: (Un)Natural Selection & Multilingual LLMs
Eva Vanmassenhove
MOA: Multi-Objective Alignment for Role-Playing Agents
Chonghua Liao, Ke Wang, Yuchuan Wu et al.
Evolving Sparsity: Leveraging Token Importance Dynamics for Efficient LLM Decoding with Sparse Attention
Ruizi Han, Miao Zhang, Ziyue Qiao et al.
SHAPE: Unifying Safety, Helpfulness and Pedagogy for Educational LLMs
Sihang Zhao, Kangrui Yu, Youliang Yuan et al.
Provably Safe Offline-to-Online RL: Decoupling Learning from Data-Driven Safety Enforcement
Kaitong Cai, Jusheng Zhang, Keze Wang
Lifting Optimized Binaries to Canonical Compiler IR via Structure-Aware Retrieval and Iterative Verification
Xiaoao Zhu, Jie Ren, Zhiqiang Li et al.
Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER
Ahmed Ewais, Ahmed Hashish, Amr Ali
HarmRLVR: Weaponizing Verifiable Rewards for Harmful LLM Alignment
Yuexiao Liu, Lijun Li, Xingjun Wang et al.
LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
Fengqi Zhu, Rongzhen Wang, Shen Nie et al.
C2: Scalable Rubric-Augmented Reward Modeling from Binary Preferences
Akira Kawabata, Saku Sugawara
SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning
Lichao Wang, ZhaoXing Ren, Tianzhuo Yang et al.
XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants
Adam Štorek, Mukur Gupta, Noopur Bhatt et al.
The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents
Weihao Xuan, Qingcheng Zeng, Heli Qi et al.