Papers
InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles
Zizhen Li, Chuanhao Li, Yibin Wang et al.
SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models
Peng Ding, Wen Sun, Dailin Li et al.
RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution
Jiahui Li, Lin Li, Tai-Wei Chang et al.
Through the Valley: Path to Effective Long CoT Training for Small Language Models
Renjie Luo, Jiaxi Li, Chen Huang et al.
Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information
Yao Chen, Jiawei Sheng, Wenyuan Zhang et al.
Collab-Overcooked: Benchmarking and Evaluating Large Language Models as Collaborative Agents
Haochen Sun, Shuwen Zhang, Lujie Niu et al.
Model-based Large Language Model Customization as Service
Zhaomin Wu, Jizhou Guo, Junyi Hou et al.
RESF: Regularized-Entropy-Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models
Pingyi Hu, Xiaofan Bai, Xiaojing Ma et al.
When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models
Cheng Wang, Gelei Deng, Xianglin Yang et al.
CalligraphicOCR for Chinese Calligraphy Recognition
Xiaoyi Bao, Zhongqing Wang, Jinghang Gu et al.
TrInk: Ink Generation with Transformer Network
Zezhong Jin, Shubhang Desai, Xu Chen et al.
Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization
Yutao Zhu, Jiajie Jin, Hongjin Qian et al.
P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs
Yidan Zhang, Yu Wan, Boyi Deng et al.
Co-Evolving LLMs and Embedding Models via Density-Guided Preference Optimization for Text Clustering
Zetong Li, Qinliang Su, Minhua Huang et al.
QSpec: Speculative Decoding with Complementary Quantization Schemes
Juntao Zhao, Wenhao Lu, Sheng Wang et al.
pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models
Zhanming Shen, Tianqi Xu, Hao Wang et al.
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs
Hexiang Tan, Fei Sun, Sha Liu et al.
BeSimulator: A Large Language Model Powered Text-based Behavior Simulator
Jianan Wang, Bin Li, Jingtao Qi et al.
Scalable Data Synthesis through Human-like Cognitive Imitation and Data Recombination
Zhongyi Ye, Weitai Zhang, Xinyuan Zhou et al.
Recall with Reasoning: Chain-of-Thought Distillation for Mamba’s Long-Context Memory and Extrapolation
Jun-Yu Ma, Tianqing Fang, Zhisong Zhang et al.
Probing LLM World Models: Enhancing Guesstimation with Wisdom of Crowds Decoding
Yun-Shiuan Chuang, Sameer Narendran, Nikunj Harlalka et al.
Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models
Yilin Wang, Heng Wang, Yuyang Bai et al.
MultiAgentESC: A LLM-based Multi-Agent Collaboration Framework for Emotional Support Conversation
Yangyang Xu, Jinpeng Hu, Zhuoer Zhao et al.
TS-CLIP: Time Series Understanding by CLIP
Ziwen Chen, Xiaoyuan Zhang, Ming Zhu
CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation
Ziyue Liu, Ruijie Zhang, Zhengyang Wang et al.