Papers
mHumanEval - A Multilingual Benchmark to Evaluate Large Language Models for Code Generation
Nishat Raihan, Antonios Anastasopoulos, Marcos Zampieri
The Stochastic Parrot on LLM’s Shoulder: A Summative Assessment of Physical Concept Understanding
Mo Yu, Lemao Liu, Junjie Wu et al.
Social Norms in Cinema: A Cross-Cultural Analysis of Shame, Pride and Prejudice
Sunny Rai, Khushang Zaveri, Shreya Havaldar et al.
It Is Not Only the Negative that Deserves Attention! Understanding, Generation & Evaluation of (Positive) Moderation
Iman Jundi, Eva Maria Vecchi, Carlotta Quensel et al.
MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems
Zifeng Zhu, Mengzhao Jia, Zhihan Zhang et al.
Exploring Safety-Utility Trade-Offs in Personalized Language Models
Anvesh Rao Vijjini, Somnath Basu Roy Chowdhury, Snigdha Chaturvedi
REFFLY: Melody-Constrained Lyrics Editing Model
Songyan Zhao, Bingxuan Li, Yufei Tian et al.
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate
Xiaomeng Jin, Zhiqi Bu, Bhanukiran Vinzamuri et al.
Using Text-Based Causal Inference to Disentangle Factors Influencing Online Review Ratings
Linsen Li, Aron Culotta, Nicholas Mattei
One fish, two fish, but not the whole sea: Alignment reduces language models’ conceptual diversity
Sonia Krishna Murthy, Tomer Ullman, Jennifer Hu
Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning Languages
Max Zuo, Francisco Piedrahita Velez, Xiaochen Li et al.
Disentangling language change: sparse autoencoders quantify the semantic evolution of indigeneity in French
Jacob A. Matthews, Laurent Dubreuil, Imane Terhmina et al.
A Distributional Perspective on Word Learning in Neural Language Models
Filippo Ficarra, Ryan Cotterell, Alex Warstadt
Eliciting Critical Reasoning in Retrieval-Augmented Generation via Contrastive Explanations
Leonardo Ranaldi, Marco Valentino, Andre Freitas
REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren et al.
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