Papers
LLM-Supported Natural Language to Bash Translation
Finnian Westenfelder, Erik Hemberg, Stephen Moskal et al.
Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision
Zhouhang Xie, Tushar Khot, Bhavana Dalvi Mishra et al.
Lived Experience Not Found: LLMs Struggle to Align with Experts on Addressing Adverse Drug Reactions from Psychiatric Medication Use
Mohit Chandra, Siddharth Sriraman, Gaurav Verma et al.
A Systematic Examination of Preference Learning through the Lens of Instruction-Following
Joongwon Kim, Anirudh Goyal, Aston Zhang et al.
Fine-Grained Transfer Learning for Harmful Content Detection through Label-Specific Soft Prompt Tuning
Faeze Ghorbanpour, Viktor Hangya, Alexander Fraser
Guiding Through Complexity: What Makes Good Supervision for Hard Reasoning Tasks?
Xuan He, Da Yin, Nanyun Peng
PORT: Preference Optimization on Reasoning Traces
Salem Lahlou, Abdalgader Abubaker, Hakim Hacid
How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs
Ran Zhang, Wei Zhao, Steffen Eger
Continual Learning in Multilingual Sign Language Translation
Shakib Yazdani, Josef Van Genabith, Cristina España-Bonet
MixLLM: Dynamic Routing in Mixed Large Language Models
Xinyuan Wang, Yanchi Liu, Wei Cheng et al.
The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units
Badr AlKhamissi, Greta Tuckute, Antoine Bosselut et al.
HIGGS: Pushing the Limits of Large Language Model Quantization via the Linearity Theorem
Vladimir Malinovskii, Andrei Panferov, Ivan Ilin et al.
Automatic Input Rewriting Improves Translation with Large Language Models
Dayeon Ki, Marine Carpuat
KMI: A Dataset of Korean Motivational Interviewing Dialogues for Psychotherapy
Hyunjong Kim, Suyeon Lee, Yeongjae Cho et al.
Handling Missing Entities in Zero-Shot Named Entity Recognition: Integrated Recall and Retrieval Augmentation
Ruichu Cai, Junhao Lu, Zhongjie Chen et al.
Main Predicate and Their Arguments as Explanation Signals For Intent Classification
Sameer Pimparkhede, Pushpak Bhattacharyya
MCQG-SRefine: Multiple Choice Question Generation and Evaluation with Iterative Self-Critique, Correction, and Comparison Feedback
Zonghai Yao, Aditya Parashar, Huixue Zhou et al.
Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss
Kunal Dahiya, Diego Ortego, David Jimenez-Cabello
Track-SQL: Enhancing Generative Language Models with Dual-Extractive Modules for Schema and Context Tracking in Multi-turn Text-to-SQL
Bingfeng Chen, Shaobin Shi, Yongqi Luo et al.
Analyzing Memorization in Large Language Models through the Lens of Model Attribution
Tarun Ram Menta, Susmit Agrawal, Chirag Agarwal
Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling
Yiwen Ding, Zhiheng Xi, Wei He et al.
Private Synthetic Text Generation with Diffusion Models
Sebastian Ochs, Ivan Habernal
From Evidence to Belief: A Bayesian Epistemology Approach to Language Models
Minsu Kim, Sangryul Kim, James Thorne