Dilek Hakkani-Tür

On the Shelf Life of Fine-Tuned LLM-Judges: Future-Proofing, Backward-Compatibility, and Question Generalization

ReIn: Conversational Error Recovery with Reasoning Inception

Language Specific Knowledge: Do Models Know Better in X than in English?

Persuade Me if You Can: A Framework for Evaluating Persuasion Effectiveness and Susceptibility Among Large Language Models

Combinatorial Creativity: A New Frontier in Generalization Abilities

Self-Improving LLM Agents at Test-Time

Neural Networks for Learnable and Scalable Influence Estimation of Instruction Fine-Tuning Data

Reinforcement Learning Finetunes Small Subnetworks in Large Language Models

ToolRL: Reward is All Tool Learning Needs

Yourbench: Dynamic Evaluation Set Generation with LLMs