32 citations · 80 across the 16 of their papers we have counts for
24 papers
Lost in the Request: How Communication Variation Disrupts Retrieval and Action in Email Agents
Feng Chen, Ritam Dutt, Atnaz Taheri +1
An email assistant should not complete less work simply because a user phrases the same request differently. Yet most benchmarks test each task with only one canonical request, lea…
Evaluating Multi-Dimensional Generalization of Large Language Models in Temporal Extraction Tasks
Fahmid Shahriar Iqbal, Ritam Dutt, Soumitra Das +2
Time and event expression extraction are fundamental temporal reasoning tasks, but the problem remains difficult due to annotation ambiguity, domain sensitivity, and unstable model…
EmailBench: A Benchmark for Evaluating LLM Agents on Enterprise Email and Productivity Tasks
Mukul Singh, Mansi Uniyal, Devin Devlin +5
Enterprise email agents must combine information retrieval, structured state changes, temporal reasoning, and multi-step coordination. Recent agent benchmarks include productivity…
Position: Evaluations of AI Moral Reasoning Still Miss Half of the Picture
Aidan Kierans, Ritam Dutt, Kaley Rittichier +2
Recent work on evaluating the moral competence of large language models (LLMs) has focused primarily on what we call the moral value problem, i.e., whether model outputs align with…
-CoD: Understanding Text-Graph Complementarity in Relational Reasoning via Knowledge Co-Distillation
Zhen Wu, Ritam Dutt, Luke M. Breitfeller +3
Relational reasoning lies at the core of many NLP tasks, drawing on complementary signals from text and graphs. While prior research has investigated how to leverage this dual comp…
Chemical Reaction Extraction from Long Patent Documents
Aishwarya Jadhav, Ritam Dutt
The task of searching through patent documents is crucial for chemical patent recommendation and retrieval. This can be enhanced by creating a patent knowledge base (ChemPatKB) to…