Satyapriya Krishna
14 papers · 2021–2026 · 7 venues · across top CS/AI venues
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large language model
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text generation
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knowledge distillation
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continual learning
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named entity recognition
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natural language processing
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factuality evaluation
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truthfulness
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explainable ai
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Papers
ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System
ACL 2026
From Narrow Unlearning to Emergent Misalignment in LLMs
ACL 2026
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
NAACL 2025
More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness
ICLR 2025
Croissant: A Metadata Format for ML-Ready Datasets
NeurIPS 2024
Understanding the Effects of Iterative Prompting on Truthfulness
ICML 2024
Post Hoc Explanations of Language Models Can Improve Language Models
NeurIPS 2023
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten
ICML 2023
Measuring Fairness of Text Classifiers via Prediction Sensitivity
ACL 2022
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal
ACL 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations
NeurIPS 2022
ADePT: Auto-encoder based Differentially Private Text Transformation
EACL 2021
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification
ACL 2021
Towards Realistic Single-Task Continuous Learning Research for NER
EMNLP 2021