Posts by Category

OpenTools: Open, Reliable, and Collective Tool-Using AI Agents

3 minute read

Published: May 03, 2026

OpenTools is a community-driven framework for tool-using LLM agents that separates tool-use accuracy from intrinsic tool accuracy and improves downstream performance through standardized tools and continuous evaluation.

Redefine ‘Diversity’ in the era of LLMs in Information Retrieval/Recommendations System

43 minute read

Published: June 01, 2024

A comprehensive survey of diversity in modern Information Retrieval and Recommendation systems, exploring traditional approaches and future directions with Large Language Models.

A Quantitative Review on Language Model Efficiency Research

Published in Preprint, 2023

Embedding Mental Health Discourse for Community Recommendation Permalink

Published in CODI-ACL 2023, 2023

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Optimizing Decomposition for Optimal Claim Verification

Published in ACL 2025, 2025

Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates Permalink

Published in EMNLP 2025, 2025

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Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents Permalink

Published in Preprint, 2026

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