activity
20132026
most citedProbabilistic Frame Induction

87 citations · 347 across the 47 of their papers we have counts for

collaborators

51 papers

cs.CL2026

Semantic Bandits: In-Context Exploration-Exploitation is Biased by Semantic Priors

David Eric Austin, Kaheer Suleman, Jackie Chi Kit Cheung

Large language models (LLMs) are increasingly deployed as decision-making agents in settings that require sophisticated environmental exploration. However, existing work has raised…

cs.HC2026

Hands-Off or Hands-On? Variation in Area Chair Practices and Implications for AI Support

Ines Arous, Neha Nayak Kennard, Andrei Mircea +3

Area chairs (ACs) play a critical role in the peer-review process, managing conflicts and ensuring fair outcomes. Although AI tools have been proposed to support ACs, little is kno…

cs.CL2023★ 1 cited

Vārta: A Large-Scale Headline-Generation Dataset for Indic Languages

Rahul Aralikatte, Ziling Cheng, Sumanth Doddapaneni +1

We present Vārta, a large-scale multilingual dataset for headline generation in Indic languages. This dataset includes 41.8 million news articles in 14 different Indic languages (a…

cs.CL2023★ 4 cited

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP

Anya Belz, Craig Thomson, Ehud Reiter +39

We report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human evaluations in NLP more/le…

cs.CL2023★ 3 cited

How Useful are Educational Questions Generated by Large Language Models?

Sabina Elkins, Ekaterina Kochmar, Jackie C. K. Cheung +1

Controllable text generation (CTG) by large language models has a huge potential to transform education for teachers and students alike. Specifically, high quality and diverse ques…

cs.CL2023★ 3 cited

Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective

Ian Porada, Alexandra Olteanu, Kaheer Suleman +2

It is increasingly common to evaluate the same coreference resolution (CR) model on multiple datasets. Do these multi-dataset evaluations allow us to draw meaningful conclusions ab…