Papers
Awes, Laws, and Flaws From Today’s LLM Research
Adrian de Wynter
PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding
Bradley McDanel, Sai Qian Zhang, Yunhai Hu et al.
RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization
Tianci Liu, Haoxiang Jiang, Tianze Wang et al.
Instruction-Tuning LLMs for Event Extraction with Annotation Guidelines
Saurabh Srivastava, Sweta Pati, Ziyu Yao
EnigmaToM: Improve LLMs’ Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States
Hainiu Xu, Siya Qi, Jiazheng Li et al.
Neutralizing Bias in LLM Reasoning using Entailment Graphs
Liang Cheng, Tianyi Li, Zhaowei Wang et al.
Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions?
Xianren Zhang, Xianfeng Tang, Hui Liu et al.
Craw4LLM: Efficient Web Crawling for LLM Pretraining
Shi Yu, Zhiyuan Liu, Chenyan Xiong
Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy
Guo Zhenyuan, Yi Shi, Wenlong Meng et al.
CROSSAGENTIE: Cross-Type and Cross-Task Multi-Agent LLM Collaboration for Zero-Shot Information Extraction
Meng Lu, Yuzhang Xie, Zhenyu Bi et al.
CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention
Yuxi Sun, Aoqi Zuo, Wei Gao et al.
CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era
Kanzhi Cheng, Wenpo Song, Jiaxin Fan et al.
GLiM: Integrating Graph Transformer and LLM for Document-Level Biomedical Relation Extraction with Incomplete Labeling
Hao Fang, Yuejie Zhang, Rui Feng et al.
Towards Medical Complex Reasoning with LLMs through Medical Verifiable Problems
Junying Chen, Zhenyang Cai, Ke Ji et al.
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback
Bofei Gao, Zefan Cai, Runxin Xu et al.
Exploring LLM Annotation for Adaptation of Clinical Information Extraction Models under Data-sharing Restrictions
Seiji Shimizu, Hisada Shohei, Yutaka Uno et al.
Beyond Surface-Level Patterns: An Essence-Driven Defense Framework Against Jailbreak Attacks in LLMs
Shiyu Xiang, Ansen Zhang, Yanfei Cao et al.
Is External Information Useful for Stance Detection with LLMs?
Quang Minh Nguyen, Taegyoon Kim
NativQA: Multilingual Culturally-Aligned Natural Query for LLMs
Md. Arid Hasan, Maram Hasanain, Fatema Ahmad et al.
AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference
Janghwan Lee, Jiwoong Park, Jinseok Kim et al.
The Impact of Name Age Perception on Job Recommendations in LLMs
Mahammed Kamruzzaman, Gene Louis Kim
Enhancing LLM Agent Safety via Causal Influence Prompting
Dongyoon Hahm, Woogyeol Jin, June Suk Choi et al.
PredictaBoard: Benchmarking LLM Score Predictability
Lorenzo Pacchiardi, Konstantinos Voudouris, Ben Slater et al.
“I understand your perspective”: LLM Persuasion through the Lens of Communicative Action Theory
Esra Dönmez, Agnieszka Falenska
Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification
Akram Elbouanani, Evan Dufraisse, Adrian Popescu