Anil Ramakrishna
Orcid: 0000-0002-7999-0531
According to our database1,
Anil Ramakrishna
authored at least 44 papers
between 2013 and 2025.
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Bibliography
2025
CoRR, June, 2025
Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning.
CoRR, June, 2025
CoRR, April, 2025
CoRR, February, 2025
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond.
CoRR, February, 2025
REAL Sampling: Boosting Factuality and Diversity of Open-ended Generation by Extrapolating the Entropy of an Infinitely Large LM.
Trans. Assoc. Comput. Linguistics, 2025
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025
Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs.
CoRR, 2024
REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy.
CoRR, 2024
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
IEEE Trans. Affect. Comput., 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022
2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
2020
CoRR, 2020
Sentence Level Estimation of Psycholinguistic Norms Using Joint Multidimensional Annotations.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
2019
A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPAs LORELEI project.
CoRR, 2019
A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPA's LORELEI project.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
The ELISA Situation Frame extraction for low resource languages pipeline for LoReHLT'2016.
Mach. Transl., 2018
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Acoustic-prosodic correlates of 'awkward' prosody in story retellings from adolescents with autism.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015
On quantifying facial expression-related atypicality of children with Autism Spectrum Disorder.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
A quantitative analysis of gender differences in movies using psycholinguistic normatives.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
2013
Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013