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researcher

Harsh Jhamtani

Microsoft

28 papers hereh-index 151.5k citations43 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author9
  • middle author13
  • last author5

Across the 27 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CL25
  • cs.AI2
  • cs.LG1
affiliations
  • Microsoft
Homepage

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedThe GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

52 citations · 62 across the 22 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

cs.LG2025

Sample-Efficient Online Learning in LM Agents via Hindsight Trajectory Rewriting

Michael Y. Hu, Benjamin Van Durme, Jacob Andreas +1

Language model (LM) agents deployed in novel environments often exhibit poor sample efficiency when learning from sequential interactions. This significantly hinders the usefulness…

cs.CL2025

LM Agents for Coordinating Multi-User Information Gathering

Harsh Jhamtani, Jacob Andreas, Benjamin Van Durme

This paper introduces PeopleJoin, a benchmark for evaluating LM-mediated collaborative problem solving. Given a user request, PeopleJoin agents must identify teammates who might be…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.