Papers
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
Hongliang He, Wenlin Yao, Kaixin Ma et al.
We Don’t Talk About That: Case Studies on Intersectional Analysis of Social Bias in Large Language Models
Hannah Devinney, Jenny Björklund, Henrik Björklund
What Are You Token About? Differentiable Perturbed Top-k Token Selection for Scientific Document Summarization
Luca Ragazzi, Paolo Italiani, Gianluca Moro et al.
What Can Go Wrong in Authorship Profiling: Cross-Domain Analysis of Gender and Age Prediction
Hongyu Chen, Michael Roth, Agnieszka Falenska
What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects
Verena Blaschke, Christoph Purschke, Hinrich Schuetze et al.
What does Kiki look like? Cross-modal associations between speech sounds and visual shapes in vision-and-language models
Tessa Verhoef, Kiana Shahrasbi, Tom Kouwenhoven
What Does Parameter-free Probing Really Uncover?
Tommi Buder-Gröndahl
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection
Shangbin Feng, Herun Wan, Ningnan Wang et al.
What Do Language Models Learn in Context? The Structured Task Hypothesis.
Jiaoda Li, Yifan Hou, Mrinmaya Sachan et al.
What Evidence Do Language Models Find Convincing?
Alexander Wan, Eric Wallace, Dan Klein
What Have We Achieved on Non-autoregressive Translation?
Yafu Li, Huajian Zhang, Jianhao Yan et al.
What is the Best Way for ChatGPT to Translate Poetry?
Shanshan Wang, Derek Wong, Jingming Yao et al.
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
Nadav Borenstein, Anej Svete, Robin Chan et al.
What Makes a Good Order of Examples in In-Context Learning
Qi Guo, Leiyu Wang, Yidong Wang et al.
What Makes Language Models Good-enough?
Daiki Asami, Saku Sugawara
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
Norah Alzahrani, Hisham Alyahya, Yazeed Alnumay et al.
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs’ Overconfidence Helps Retrieval Augmentation
Shiyu Ni, Keping Bi, Jiafeng Guo et al.
When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP
Sara Papi, Marco Gaido, Andrea Pilzer et al.
When is a Language Process a Language Model?
Li Du, Holden Lee, Jason Eisner et al.
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator
Ziru Chen, Michael White, Ray Mooney et al.
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality
Brielen Madureira, Patrick Kahardipraja, David Schlangen
When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models
Jiaxin Wang, Lingling Zhang, Wee Sun Lee et al.
When to Trust LLMs: Aligning Confidence with Response Quality
Shuchang Tao, Liuyi Yao, Hanxing Ding et al.
Where Do People Tell Stories Online? Story Detection Across Online Communities
Maria Antoniak, Joel Mire, Maarten Sap et al.