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20222026
most citedPersonalized Attacks of Social Engineering in Multi-turn Conversations: LLM Agents for Simulation and Detection

2 citations · 7 across the 18 of their papers we have counts for

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6 papers · 1 filter

cs.CL2026

The Sum of All Summaries: PROPALIGN for Graded Proposition Salience Evaluation

Lin Ai, Emma Thronson, Katherine Conhaim +1

Identification and ranking of salient propositions in documents is indirectly involved in many AI tasks, but few papers define proposition salience scores clearly, make diverse dat…

cs.CL2026

Using LMs to Model the Effects of Context and Coreference during Sentence Comprehension

Kohei Kajikawa, Lin Ai, Tatsuki Kuribayashi +1

Language models (LMs) are often used as a tool to model human language processing. Recent studies suggest that severely restricting LMs' context window improves their fit to human…

cs.CL2026

Rhythms of Work: Multi-Scale Interpretation of Human Behavioral Traces for Workplace Agents

Lin Ai, Scott Counts

Runtime traces are becoming a central substrate for understanding agentic systems, yet interpretation has focused largely on what the agent did. Workplace agents face the complemen…

cs.CL2026

An Interactive Paradigm for Deep Research

Lin Ai, Victor S. Bursztyn, Xiang Chen +2

Recent advances in large language models (LLMs) have enabled deep research systems that synthesize comprehensive, report-style answers to open-ended queries by combining retrieval,…

cs.MA2026

TeamFusion: Supporting Open-ended Teamwork with Multi-Agent Systems

Jiale Liu, Victor S. Bursztyn, Lin Ai +4

In open-ended domains, teams must reconcile diverse viewpoints to produce strong deliverables. Answer aggregation approaches commonly used in closed domains are ill-suited to this…

cs.CL2026

Detecting Mental Manipulation in Speech via Synthetic Multi-Speaker Dialogue

Run Chen, Wen Liang, Ziwei Gong +2

Mental manipulation, the strategic use of language to covertly influence or exploit others, is a newly emerging task in computational social reasoning. Prior work has focused exclu…