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20222025
most citedBeyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

565 citations · 577 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.CL2025★ 1 cited

ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?

Christine Ye, Sihan Yuan, Suchetha Cooray +10

Frontier AI agents show increasing promise as scientific research assistants, and may eventually be useful for extended, open-ended research workflows. However, in order to use age…

cs.CL2025

When Large Language Models are Reliable for Judging Empathic Communication

Aakriti Kumar, Nalin Poungpeth, Diyi Yang +3

Large language models (LLMs) excel at generating empathic responses in text-based conversations. But, how reliably do they judge the nuances of empathic communication? We investiga…

cs.CL2024★ 4 cited

PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action

Yijia Shao, Tianshi Li, Weiyan Shi +2

As language models (LMs) are widely utilized in personalized communication scenarios (e.g., sending emails, writing social media posts) and endowed with a certain level of agency,…

cs.CL2024★ 2 cited

Are Large Language Models Consistent over Value-laden Questions?

Jared Moore, Tanvi Deshpande, Diyi Yang

Large language models (LLMs) appear to bias their survey answers toward certain values. Nonetheless, some argue that LLMs are too inconsistent to simulate particular values. Are th…

cs.CL2023

Task-Agnostic Low-Rank Adapters for Unseen English Dialects

Zedian Xiao, William Held, Yanchen Liu +1

Large Language Models (LLMs) are trained on corpora disproportionally weighted in favor of Standard American English. As a result, speakers of other dialects experience significant…

cs.CL2023★ 2 cited

CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations

Myra Cheng, Tiziano Piccardi, Diyi Yang

Recent work has aimed to capture nuances of human behavior by using LLMs to simulate responses from particular demographics in settings like social science experiments and public o…

cs.CL2023★ 2 cited

Anchor Points: Benchmarking Models with Much Fewer Examples

Rajan Vivek, Kawin Ethayarajh, Diyi Yang +1

Modern language models often exhibit powerful but brittle behavior, leading to the development of larger and more diverse benchmarks to reliably assess their behavior. Here, we sug…

cs.CL2022★ 565 cited

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448

Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…