Papers
Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping
Tao Yu, Yongqi An, Kuan Zhu et al.
Lethe: Layer- and Time-Adaptive KV Cache Pruning for Reasoning-Intensive LLM Serving
Hui Zeng, Daming Zhao, Pengfei Yang et al.
PRISM: Privacy-Aware Routing for Adaptive Cloud–Edge LLM Inference via Semantic Sketch Collaboration
Junfei Zhan, Haoxun Shen, Zheng Lin et al.
SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization
Zhixiong Zhao, Fangxin Liu, Junjie Wang et al.
iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference
Wei Fan, JinYi Yoon, Bo Ji
DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMs
Yuanhao Li, Mingshan Liu, Hongbo Wang et al.
From Text to Simulation: A Multi-Agent LLM Workflow for Automated Chemical Process Design
Xufei Tian, Wenli Du, Shaoyi Yang et al.
HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems
Yihan Xia, Taotao Wang, Shengli Zhang et al.
RECoRD: A Multi-Agent LLM Framework for Reverse Engineering Codebase to Relational Diagram
Yuan Xue, Xiaoyu Lu, Yunfei Bai et al.
DialogXpert: Driving Intelligent and Emotion-Aware Conversations Through Online Value-Based Reinforcement Learning with LLM Priors
Tazeek Bin Abdur Rakib, Ambuj Mehrish, Lay-Ki Soon et al.
Where Norms and References Collide: Evaluating LLMs on Normative Reasoning
Mitchell Abrams, Kaveh Eskandari Miandoab, Felix Gervits et al.
Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions
Guy Bar-Shalom, Fabrizio Frasca, Derek Lim et al.
Do LLMs Really Struggle at NL-FOL Translation? Revealing Their Strengths via a Novel Benchmarking Strategy
Andrea Brunello, Luca Geatti, Michele Mignani et al.
RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning Reliability
Kaitong Cai, Jusheng Zhang, Yijia Fan et al.
Does Question Really Matter? The Attribution of Answer Bias in LLM Evaluation
Boxi Cao, Ruotong Pan, Hongyu Lin et al.
Can Editing LLMs Inject Harm?
Canyu Chen, Baixiang Huang, Zekun Li et al.
DEPO: Dual-Efficiency Preference Optimization for LLM Agents
Sirui Chen, Mengshi Zhao, Lei Xu et al.
Activations as Features: Probing LLMs for Generalizable Essay Scoring Representations
Jinwei Chi, Ke Wang, Yu Chen et al.
HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training
Seungho Choi, Sihyun Park, Minsang Kim et al.
Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs
Jing Cui, Yufei Han, Jianbin Jiao et al.
When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs’ Toxicity
Shiyao Cui, Xijia Feng, Yingkang Wang et al.
HLPD: Aligning LLMs to Human Language Preference for Machine-Revised Text Detection
Fangqi Dai, Xingjian Jiang, Zizhuang Deng
Measuring the Unmeasurable: Unveiling Latent Cognitive Capabilities of LLM
Cui Danxin, Sihang Jiang, Keyi Wang et al.
Guess or Recall? Training CNNs to Classify and Localize Memorization in LLMs
Jérémie Dentan, Davide Buscaldi, Sonia Vanier