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20212025
most citedYou don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Collective Memory and Narrative Cohesion: A Computational Study of Palestinian Refugee Oral Histories in Lebanon

Ghadeer Awwad, Lavinia Dunagan, David Gamba +1

This study uses the Palestinian Oral History Archive (POHA) to investigate how Palestinian refugee groups in Lebanon sustain a cohesive collective memory of the Nakba through share…

cs.CL2023★ 1 cited

You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments

Bangzhao Shu, Lechen Zhang, Minje Choi +5

The versatility of Large Language Models (LLMs) on natural language understanding tasks has made them popular for research in social sciences. To properly understand the properties…

cs.CL2023

Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics

Aparna Ananthasubramaniam, Hong Chen, Jason Yan +7

Linguistic style matching (LSM) in conversations can be reflective of several aspects of social influence such as power or persuasion. However, how LSM relates to the outcomes of o…

cs.CL2021

Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand

Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras +5

Natural language processing researchers have identified limitations of evaluation methodology for generation tasks, with new questions raised about the validity of automatic metric…

cs.CL2021

Transparent Human Evaluation for Image Captioning

Jungo Kasai, Keisuke Sakaguchi, Lavinia Dunagan +4

We establish THumB, a rubric-based human evaluation protocol for image captioning models. Our scoring rubrics and their definitions are carefully developed based on machine- and hu…