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cs.CL2026

DigitalCoach: Communication and Grounding Gaps in Human and Agentic Computer Use Coaching

Meng Chen, Anya Ji, Tsung-Han Wu +4

Agents are increasingly capable of automating software tasks, but can they teach humans how to use software themselves? We introduce DigitalCoach, a multimodal dataset of 72 human…

cs.CL2026

Representational Similarity and Model Behavior in Multi-Agent Interaction

Yujin Potter, Seun Eisape, Shiyang Lai +6

Researchers have shown that neural similarity among humans predicts social closeness and cooperative success, whereas innovation often emerges from interactions among dissimilar in…

cs.CL2026

Long Chain-of-Thought Reasoning Across Languages

Josh Barua, Seun Eisape, Kayo Yin +1

While large reasoning models have shown remarkable ability to generate long chains-of-thought (CoTs) in English, we still lack understanding of how these long-form reasoning abilit…

cs.CL2025

Characterizing Language Use in a Collaborative Situated Game

Nicholas Tomlin, Naitian Zhou, Eve Fleisig +10

Cooperative video games, where multiple participants must coordinate by communicating and reasoning under uncertainty in complex environments, yield a rich source of language data.…

cs.CL2024

Using Language Models to Disambiguate Lexical Choices in Translation

Josh Barua, Sanjay Subramanian, Kayo Yin +1

In translation, a concept represented by a single word in a source language can have multiple variations in a target language. The task of lexical selection requires using context…

cs.CL2024

Grounding Language in Multi-Perspective Referential Communication

Zineng Tang, Lingjun Mao, Alane Suhr

We introduce a task and dataset for referring expression generation and comprehension in multi-agent embodied environments. In this task, two agents in a shared scene must take int…