Papers
DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects
Jason S Lucas, Matt Murtagh White, Ali Al-Lawati et al.
CiPO: Counterfactual Unlearning for Large Reasoning Models through Iterative Preference Optimization
Junyi Li, Yongqiang Chen, Ningning Ding
It’s Not What You Say, It’s How You Say It: Evaluating LLM Responses to Expressions of Belief
Kevin Du, Clara Kümpel, Michelle Wastl et al.
One Tokenizer To Rule Them All: Emergent Language Plasticity via Multilingual Tokenizers
Diana Abagyan, Alejandro R. Salamanca, Andres Felipe Cruz-Salinas et al.
TRACE: Evaluating Execution Efficiency of LLM-Based Code Translation
Zhihao Gong, Zeyu Sun, Dong Huang et al.
CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization
Zhongyuan Peng, Yifan Yao, Kaijing Ma et al.
SAC: Neural Speech Codec with Semantic-Acoustic Dual-Stream Quantization
Wenxi Chen, Ruiqi Yan, Yushen Chen et al.
K-Merge: Online Continual Merging of Adapters for On-device Large Language Models
Donald Shenaj, Ondrej Bohdal, Taha Ceritli et al.
Two-Stage Regularization-Based Structured Pruning for LLMs
Mingkuan Feng, Jinyang Wu, Siyuan Liu et al.
Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models
Jinyang Wu, Mingkuan Feng, Shuai Zhang et al.
Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
Xinyu Tang, Yuliang Zhan, Zhixun Li et al.
Bias Fitting to Mitigate Length Bias of Reward Model in RLHF
Kangwen Zhao, Jianfeng Cai, Jinhua Zhu et al.
HOPE: Hybrid Optimized Parallel Encoding with Supervised and Unsupervised Semantic Fusion for Depression Symptom Detection
Tu-Phuong Mai, Minh-Ha Le H., Duc-Luong Tran et al.
RealTalk-CN: A Realistic Chinese Speech Task-Oriented Dialogue Benchmark with Cross-Modal Analysis
Enzhi Wang, Jiaming Zhou, Yuhang Jia et al.
ALIGN: Word Association Learning for Cultural Alignment in Large Language Models
Chunhua Liu, Kabir Manandhar Shrestha, Sukai Huang
LEASH: Adaptive Length Penalty and Reward Shaping for Efficient Large Reasoning Model
Yanhao Li, Lu Ma, Jiaran Zhang et al.
Can LLMs Learn to Map the World from Local Descriptions?
Sirui Xia, Aili Chen, Xintao Wang et al.
SCAN: Structured Capability Assessment and Navigation for LLMs
Zongqi Wang, Tianle Gu, Chen Gong et al.
Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning
Rui Pu, Chaozhuo Li, Rui Ha et al.
AwarenessBench: Assessing Cognitive Capabilities of Language Models
Xiaojian Li, Rongwu Xu, Tianyun Zhang et al.
OneRec-Think: In-Text Reasoning for Generative Recommendation
Zhanyu Liu, Shiyao Wang, Xingmei Wang et al.
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
Jingyuan Wang, Yankai Chen, Zhonghang Li et al.
PUPPET: Neural-Symbolic Standardized Patients for Mental Health
Chen Xu, Yu ji, Zhenyu Lv et al.
Breaking the Generator Barrier: Disentangled Representation for Generalizable AI-Text Detection
Xiao Pu, Zepeng Cheng, Lin Yuan et al.