1 citations · 1 across the 5 of their papers we have counts for
7 papers
Who Takes the Lead? Model Ability and Task-Conditioned Collaboration with Humans
Weien Li, Haochen Liu, Zeyu Li +3
As language-model agents grow more capable, they can carry more of a task without asking anyone for help. Falling reliance on a human partner is easy to read as a failure of collab…
CultureMINE: Datasets and Methods for Improving the Cultural Capabilities of NLP Systems
Tania Chakraborty, Eylon Caplan, Zhaoqing Wu +4
In recent years, there has been a surge of interest in Cultural NLP, with substantial efforts to create globally inclusive NLP systems. The rapid growth of literature in this field…
TAIGR: Towards Modeling Influencer Content on Social Media via Structured, Pragmatic Inference
Nishanth Sridhar Nakshatri, Eylon Caplan, Rajkumar Pujari +1
Health influencers play a growing role in shaping public beliefs, yet their content is often conveyed through conversational narratives and rhetorical strategies rather than explic…
VIBE: Can a VLM Read the Room?
Tania Chakraborty, Eylon Caplan, Dan Goldwasser
Understanding human social behavior such as recognizing emotions and the social dynamics causing them is an important and challenging problem. While LLMs have made remarkable advan…
ConceptCarve: Dynamic Realization of Evidence
Eylon Caplan, Dan Goldwasser
Finding evidence for human opinion and behavior at scale is a challenging task, often requiring an understanding of sophisticated thought patterns among vast online communities fou…
Splits! Flexible Sociocultural Linguistic Investigation at Scale
Eylon Caplan, Tania Chakraborty, Dan Goldwasser
Variation in language use, shaped by speakers' sociocultural background and specific context of use, offers a rich lens into cultural perspectives, values, and opinions. For exampl…
CoLa: Learning to Interactively Collaborate with Large Language Models
Abhishek Sharma, Dan Goldwasser
LLMs' remarkable ability to tackle a wide range of language tasks opened new opportunities for collaborative human-AI problem solving. LLMs can amplify human capabilities by applyi…