Papers
Webis at CQs-Gen 2025: Prompting and Reranking for Critical Questions
Midhun Kanadan, Johannes Kiesel, Maximilian Heinrich et al.
WebNLG-IT: Construction of an aligned RDF-Italian corpus through Machine Translation techniques
Michael Oliverio, Pier Felice Balestrucci, Alessandro Mazzei et al.
WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code
Zhiyu Lin, Zhengda Zhou, Zhiyuan Zhao et al.
WebWalker: Benchmarking LLMs in Web Traversal
Jialong Wu, Wenbiao Yin, Yong Jiang et al.
Weed Out, Then Harvest: Dual Low-Rank Adaptation is an Effective Noisy Label Detector for Noise-Robust Learning
Bo Yuan, Yulin Chen, Yin Zhang
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.