2 citations · 2 across the 2 of their papers we have counts for
3 papers
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs
Umesh Bodhwani, Yuan Ling, Shujing Dong +3
A critical challenge in deploying Large Language Models (LLMs) is developing reliable mechanisms to estimate their confidence, enabling systems to determine when to trust model out…
LentEx: Generalizable Latent Entity Extraction via Synthetic Data and Instruction-Tuned LLMs
Umesh Bodhwani, Yuan Ling, Cibi Chakravarthy Senthilkumar +4
Latent entity extraction (LEE) tackles the challenge of identifying implicit, contextually inferred entities within free text-an area where traditional entity extraction methods fa…
Bias in Large Language Models: Origin, Evaluation, and Mitigation
Yufei Guo, Muzhe Guo, Juntao Su +5
Large Language Models (LLMs) have revolutionized natural language processing, but their susceptibility to biases poses significant challenges. This comprehensive review examines th…