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Jay Pujara

7 papers here

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

author position
  • middle author3
  • last author4

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.AI2
ORCID 0000-0001-6921-1744

identity via Semantic Scholar / OpenAlex

most citedHow FaR Are Large Language Models From Agents with Theory-of-Mind?

6 citations · 13 across the 7 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2024

Knowledge-Powered Recommendation for an Improved Diet Water Footprint

Saurav Joshi, Filip Ilievski, Jay Pujara

According to WWF, 1.1 billion people lack access to water, and 2.7 billion experience water scarcity at least one month a year. By 2025, two-thirds of the world's population may be…

cs.AI2024★ 9 cited

Self-Discover: Large Language Models Self-Compose Reasoning Structures

Pei Zhou, Jay Pujara, Xiang Ren +7

We introduce SELF-DISCOVER, a general framework for LLMs to self-discover the task-intrinsic reasoning structures to tackle complex reasoning problems that are challenging for typi…

cs.AI2023★ 1 cited

PubGraph: A Large-Scale Scientific Knowledge Graph

Kian Ahrabian, Xinwei Du, Richard Delwin Myloth +2

Research publications are the primary vehicle for sharing scientific progress in the form of new discoveries, methods, techniques, and insights. Unfortunately, the lack of a large-…

cs.AI2022★ 4 cited

Understanding Narratives through Dimensions of Analogy

Thiloshon Nagarajah, Filip Ilievski, Jay Pujara

Analogical reasoning is a powerful qualitative reasoning tool that enables humans to connect two situations, and to generalize their knowledge from familiar to novel situations. Co…

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