Anil Ramakrishna

Orcid: 0000-0002-7999-0531

According to our database1, Anil Ramakrishna authored at least 31 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate.
CoRR, 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

Partial Federated Learning.
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

Correcting Language Model Outputs by Editing Salient Layers.
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
JAB: Joint Adversarial Prompting and Belief Augmentation.
CoRR, 2023

FedMultimodal: A Benchmark for Multimodal Federated Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Sampling bias in NLU models: Impact and Mitigation.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Self-Healing Through Error Detection, Attribution, and Retraining.
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
Joint Multi-Dimensional Model for Global and Time-Series Annotations.
IEEE Trans. Affect. Comput., 2022

Federated Learning with Noisy User Feedback.
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
Towards Realistic Single-Task Continuous Learning Research for NER.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Victim or Perpetrator? Analysis of Violent Characters Portrayals from Movie Scripts.
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

Violence Rating Prediction from Movie Scripts.
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

Computational Modeling of Conversational Humor in Psychotherapy.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017
Linguistic analysis of differences in portrayal of movie characters.
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
Hierarchical Active Transfer Learning.
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
An Interactive Web Based Spatio-Temporal Visualization System.
Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013


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