Papers
When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits
Jabez Magomere, Emanuele La Malfa, Manuel Tonneau et al.
When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text
Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko
When GPT Spills the Tea: Comprehensive Assessment of Knowledge File Leakage in GPTs
Xinyue Shen, Yun Shen, Michael Backes et al.
When Harry Meets Superman: The Role of The Interlocutor in Persona-Based Dialogue Generation
Daniela Occhipinti, Marco Guerini, Malvina Nissim
When Large Language Models Meet Speech: A Survey on Integration Approaches
Zhengdong Yang, Shuichiro Shimizu, Yahan Yu et al.
When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Models
Julia Mendelsohn, Ceren Budak
When Scale Meets Diversity: Evaluating Language Models on Fine-Grained Multilingual Claim Verification
Hanna Shcharbakova, Tatiana Anikina, Natalia Skachkova et al.
When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR
Dayoon Ko, Jinyoung Kim, Sohyeon Kim et al.
When the Dictionary Strikes Back: A Case Study on Slovak Migration Location Term Extraction and NER via Rule-Based vs. LLM Methods
Miroslav Blšták, Jaroslav Kopčan, Marek Šuppa et al.
When the LM misunderstood the human chuckled: Analyzing garden path effects in humans and language models
Samuel Joseph Amouyal, Aya Meltzer-Asscher, Jonathan Berant
When to Speak, When to Abstain: Contrastive Decoding with Abstention
Hyuhng Joon Kim, Youna Kim, Sang-goo Lee et al.
When Will the Tokens End? Graph-Based Forecasting for LLMs Output Length
Grzegorz Piotrowski, Mateusz Bystroński, Mikołaj Hołysz et al.
Where Are We? Evaluating LLM Performance on African Languages
Ife Adebara, Hawau Olamide Toyin, Nahom Tesfu Ghebremichael et al.
Where it’s at: Annotating Verb Placement Types in Learner Language
Josef Ruppenhofer, Annette Portmann, Matthias Schwendemann et al.
Whether LLMs Know If They Know: Identifying Knowledge Boundaries via Debiased Historical In-Context Learning
Bo Lv, Nayu Liu, Yang Shen et al.
Which Demographics do LLMs Default to During Annotation?
Johannes Schäfer, Aidan Combs, Christopher Bagdon et al.
Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above
Nishant Balepur, Rachel Rudinger, Jordan Lee Boyd-Graber
Which Retain Set Matters for LLM Unlearning? A Case Study on Entity Unlearning
Hwan Chang, Hwanhee Lee
WhiSPA: Semantically and Psychologically Aligned Whisper with Self-Supervised Contrastive and Student-Teacher Learning
Rajath Rao, Adithya V Ganesan, Oscar Kjell et al.
White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs
Yixin Wan, Kai-Wei Chang
Who Can Withstand Chat-Audio Attacks? An Evaluation Benchmark for Large Audio-Language Models
Wanqi Yang, Yanda Li, Meng Fang et al.
Who leads? Who follows? Temporal dynamics of political dogwhistles in Swedish online communities
Max Boholm, Gregor Rettenegger, Ellen Breitholtz et al.
Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas
Nishant Balepur, Vishakh Padmakumar, Fumeng Yang et al.
Who Taught You That? Tracing Teachers in Model Distillation
Somin Wadhwa, Chantal Shaib, Silvio Amir et al.
Who Writes What: Unveiling the Impact of Author Roles on AI-generated Text Detection
Jiatao Li, Xiaojun Wan