Papers
LLMs Faithfully and Iteratively Compute Answers During CoT: A Systematic Analysis With Multi-step Arithmetics
Keito Kudo, Yoichi Aoki, Tatsuki Kuribayashi et al.
Causal Direct Preference Optimization for Language Model Alignment
Uyen Le, Thin Nguyen, Toan Nguyen et al.
Causal Activation Steering via Sparse Mediation
Toan Doan, Uyen Le, Thin Nguyen
DRAGON: Domain-specific Robust Automatic Data Generation for RAG Optimization
Haiyang Shen, Hang Yan, Zhongshi Xing et al.
Towards the First NLP Benchmark for Ladin - an Extremely Low-Resource Language
Ulin Nuha, Adam Jatowt
The Model’s Language Matters: A Comparative Privacy Analysis of LLMs
Abhishek Kumar Mishra, Antoine Boutet, Lucas Magnana
The Unintended Trade-off of AI Alignment: Balancing Hallucination Mitigation and Safety in LLMs
Omar Mahmoud, Ali Khalil, Thommen George Karimpanal et al.
Scaling Data-Constrained Language Models with Synthetic Data
Hirokazu Kiyomaru, Yusuke Oda, Takashi Kodama et al.
Where do LLMs currently stand on biomedical NER in both clean and noisy settings ?
Christophe Ye, Cassie S. Mitchell
On the Interplay between Human Label Variation and Model Fairness
Kemal Kurniawan, Meladel Mistica, Timothy Baldwin et al.
ATOM: AdapTive and OptiMized dynamic temporal knowledge graph construction using LLMs
Yassir Lairgi, Ludovic Moncla, Khalid Benabdeslem et al.
CodeGuard: Improving LLM Guardrails in CS Education
Nishat Raihan, Noah Erdachew, Jayoti Devi et al.
Toward Beginner-Friendly LLMs for Language Learning: Controlling Difficulty in Conversation
Meiqing Jin, Liam Dugan, Chris Callison-Burch
Harmful Factuality: LLMs Correcting What They Shouldn’t
Mingchen Li, Hanzhi Zhang, Heng Fan et al.
Personal Information Parroting in Language Models
Nishant Subramani, Kshitish Ghate, Mona T. Diab
DebateQA: Evaluating Question Answering on Debatable Knowledge
Rongwu Xu, Xuan Qi, Zehan Qi et al.
Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question Generation
Liwen Sun, Xiang Yu, Ming Tan et al.
MAPS: A Multilingual Benchmark for Agent Performance and Security
Omer Hofman, Jonathan Brokman, Oren Rachmil et al.
Shifting Perspectives: Steering Vectors for Robust Bias Mitigation in LLMs
Zara Siddique, Irtaza Khalid, Liam Turner et al.
Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering
Haiyan Zhao, Xuansheng Wu, Fan Yang et al.
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation
Jiabin Fan, Guoqing Luo, Michael Bowling et al.
How Important is ‘Perfect’ English for Machine Translation Prompts?
Patrícia Schmidtová, Niyati Bafna, Seth Aycock et al.
Skill Discovery for Software Scripting Automation via Offline Simulations with LLMs
Paiheng Xu, Gang Wu, Xiang Chen et al.
SpatialMath: Spatial Comprehension-Infused Symbolic Reasoning for Mathematical Problem-Solving
Ashutosh Bajpai, Akshat Bhandari, Akshay Nambi et al.
Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Question Answering Task
Leonardo Ranaldi, Barry Haddow, Alexandra Birch