Papers
Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning
Saif Punjwani, Larry Heck
Well Begun is Half Done: Low-resource Preference Alignment by Weak-to-Strong Decoding
Feifan Song, Shaohang Wei, Wen Luo et al.
“Well, Keep Thinking”: Enhancing LLM Reasoning with Adaptive Injection Decoding
Hyunbin Jin, Je Won Yeom, Seunghyun Bae et al.
We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?
Runqi Qiao, Qiuna Tan, Guanting Dong et al.
WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain
Rounak Meyur, Hung Phan, Sridevi Wagle et al.
WETBench: A Benchmark for Detecting Task-Specific Machine-Generated Text on Wikipedia
Gerrit Quaremba, Elizabeth Black, Denny Vrandecic et al.
WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks
Anudeex Shetty, Qiongkai Xu, Jey Han Lau
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
Zhi Chen, Qiguang Chen, Libo Qin et al.
What Causes Knowledge Loss in Multilingual Language Models?
Maria Khelli, Samuel Cahyawijaya, Ayu Purwarianti et al.
What Counts Underlying LLMs’ Moral Dilemma Judgments?
Wenya Wu, Weihong Deng
What does memory retrieval leave on the table? Modelling the Cost of Semi-Compositionality with MINERVA2 and sBERT
Sydelle de Souza, Ivan Vegner, Francis Mollica et al.
“What do you call a dog that is incontrovertibly true? Dogma”: Testing LLM Generalization through Humor
Alessio Cocchieri, Luca Ragazzi, Paolo Italiani et al.
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Ming Li, Yanhong Li, Tianyi Zhou
What is an “Abstract Reasoner”? Revisiting Experiments and Arguments about Large Language Models
Tian Yun, Chen Sun, Ellie Pavlick
What is in a name? Mitigating Name Bias in Text Embedding Similarity via Anonymization
Sahil Manchanda, Pannaga Shivaswamy
What is Stigma Attributed to? A Theory-Grounded, Expert-Annotated Interview Corpus for Demystifying Mental-Health Stigma
Han Meng, Yancan Chen, Yunan Li et al.
What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations
Dongqi Liu, Chenxi Whitehouse, Xi Yu et al.
What Language Do Non-English-Centric Large Language Models Think in?
Chengzhi Zhong, Qianying Liu, Fei Cheng et al.
What Makes a Good Natural Language Prompt?
Do Xuan Long, Duy Dinh, Ngoc-Hai Nguyen et al.
What Makes You CLIC: Detection of Croatian Clickbait Headlines
Marija Anđelić, Dominik Šipek, Laura Majer et al.
What Really Matters in Many-Shot Attacks? An Empirical Study of Long-Context Vulnerabilities in LLMs
Sangyeop Kim, Yohan Lee, Yongwoo Song et al.
What’s the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns
Michael A. Hedderich, Anyi Wang, Raoyuan Zhao et al.
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
Huaizhi Ge, Yiming Li, Qifan Wang et al.
When Benchmarks Talk: Re-Evaluating Code LLMs with Interactive Feedback
Jane Pan, Ryan Shar, Jacob Pfau et al.