3 papers
cs.CL2025
EvalAgent: Discovering Implicit Evaluation Criteria from the Web
Manya Wadhwa, Zayne Sprague, Chaitanya Malaviya +3
Evaluation of language model outputs on structured writing tasks is typically conducted with a number of desirable criteria presented to human evaluators or large language models (…
cs.LG2025
Pairwise or Pointwise? Evaluating Feedback Protocols for Bias in LLM-Based Evaluation
Tuhina Tripathi, Manya Wadhwa, Greg Durrett +1
Large Language Models (LLMs) are widely used as proxies for human labelers in both training (Reinforcement Learning from AI Feedback) and large-scale response evaluation (LLM-as-a-…
cs.CL2025
QUDsim: Quantifying Discourse Similarities in LLM-Generated Text
Ramya Namuduri, Yating Wu, Anshun Asher Zheng +3
As large language models become increasingly capable at various writing tasks, their weakness at generating unique and creative content becomes a major liability. Although LLMs hav…