Papers
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals
Phillip Howard, Kathleen C. Fraser, Anahita Bhiwandiwalla et al.
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback
Jiao Sun, Deqing Fu, Yushi Hu et al.
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
Seungone Kim, Juyoung Suk, Ji Yong Cho et al.
Stronger Universal and Transferable Attacks by Suppressing Refusals
David Huang, Avidan Shah, Alexandre Araujo et al.
Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage
Kaige Xie, Philippe Laban, Prafulla Kumar Choubey et al.
SUNAR: Semantic Uncertainty based Neighborhood Aware Retrieval for Complex QA
Venktesh V, Mandeep Rathee, Avishek Anand
Rethinking Word Similarity: Semantic Similarity through Classification Confusion
Kaitlyn Zhou, Haishan Gao, Sarah Li Chen et al.
VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning
Yifan Peng, Krishna C Puvvada, Zhehuai Chen et al.
Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities
Chung-En Sun, Xiaodong Liu, Weiwei Yang et al.
uDistil-Whisper: Label-Free Data Filtering for Knowledge Distillation in Low-Data Regimes
Abdul Waheed, Karima Kadaoui, Bhiksha Raj et al.
BEMEAE: Moving Beyond Exact Span Match for Event Argument Extraction
Enfa Fane, Md Nayem Uddin, Oghenevovwe Ikumariegbe et al.
SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotators
Daniil Moskovskiy, Nikita Sushko, Sergey Pletenev et al.
ConQRet: A New Benchmark for Fine-Grained Automatic Evaluation of Retrieval Augmented Computational Argumentation
Kaustubh Dhole, Kai Shu, Eugene Agichtein
Waste Not, Want Not; Recycled Gumbel Noise Improves Consistency in Natural Language Generation
Damien De Mijolla, Hannan Saddiq, Kim Moore
Efficient One-shot Compression via Low-Rank Local Feature Distillation
Yaya Sy, Christophe Cerisara, Irina Illina
Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning
Rujing Yao, Yang Wu, Chenghao Wang et al.
Diverse In-Context Example Selection After Decomposing Programs and Aligned Utterances Improves Semantic Parsing
Mayank Kothyari, Sunita Sarawagi, Soumen Chakrabarti et al.
Fine-Tuning Large Language Models with Sequential Instructions
Hanxu Hu, Simon Yu, Pinzhen Chen et al.
GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing
Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang et al.
Anticipating Future with Large Language Model for Simultaneous Machine Translation
Siqi Ouyang, Oleksii Hrinchuk, Zhehuai Chen et al.
Arabic Dataset for LLM Safeguard Evaluation
Yasser Ashraf, Yuxia Wang, Bin Gu et al.
Aggregation Artifacts in Subjective Tasks Collapse Large Language Models’ Posteriors
Georgios Chochlakis, Alexandros Potamianos, Kristina Lerman et al.
ETHIC: Evaluating Large Language Models on Long-Context Tasks with High Information Coverage
Taewhoo Lee, Chanwoong Yoon, Kyochul Jang et al.
Evaluating Evidence Attribution in Generated Fact Checking Explanations
Rui Xing, Timothy Baldwin, Jey Han Lau
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
Bang An, Shiyue Zhang, Mark Dredze