Anil Ramakrishna

According to our database, Anil Ramakrishna authored at least 30 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs.

Duygu Nur Yaldiz, Yavuz Faruk Bakman, Baturalp Buyukates, Chenyang Tao, Anil Ramakrishna, Dimitrios Dimitriadis, Salman Avestimehr

CoRR, 2024

REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy.

Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung

CoRR, 2024

Partial Federated Learning.

Tiantian Feng, Anil Ramakrishna, Jimit Majmudar, Charith Peris, Jixuan Wang, Clement Chung, Richard S. Zemel, Morteza Ziyadi, Rahul Gupta

CoRR, 2024

Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification.

Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris

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.

Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Correcting Language Model Outputs by Editing Salient Layers.

Kshitij Mishra, Tamer Soliman, Anil Ramakrishna, Aram Galstyan, Anoop Kumar

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.

Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan

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.

Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta

CoRR, 2023

FedMultimodal: A Benchmark for Multimodal Federated Learning.

Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Sampling bias in NLU models: Impact and Mitigation.

Zefei Li, Anil Ramakrishna, Anna Rumshisky, Andy Rosenbaum, Saleh Soltan, Rahul Gupta

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Self-Healing Through Error Detection, Attribution, and Retraining.

Ansel MacLaughlin, Anna Rumshisky, Rinat Khaziev, Anil Ramakrishna, Yuval Merhav, Rahul Gupta

Proceedings of the IEEE International Conference on Acoustics, 2023

INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations.

Anil Ramakrishna, Rahul Gupta, Jens Lehmann, Morteza Ziyadi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Joint Multi-Dimensional Model for Global and Time-Series Annotations.

Anil Ramakrishna, Rahul Gupta, Shrikanth Narayanan

IEEE Trans. Affect. Comput., 2022

Federated Learning with Noisy User Feedback.

Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta

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.

Stefan Schroedl, Manoj Kumar, Kiana Hajebi, Morteza Ziyadi, Sriram Venkatapathy, Anil Ramakrishna, Rahul Gupta, Pradeep Natarajan

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.

Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar, Rahul Gupta

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.

Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth Narayanan

CoRR, 2020

Sentence Level Estimation of Psycholinguistic Norms Using Joint Multidimensional Annotations.

Anil Ramakrishna, Shrikanth Narayanan

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.

Victor R. Martinez, Anil Ramakrishna, Ming-Chang Chiu, Karan Singla, Shrikanth S. Narayanan

CoRR, 2019

A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPA's LORELEI project.

Victor R. Martinez, Anil Ramakrishna, Ming-Chang Chiu, Karan Singla, Shrikanth S. Narayanan

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

Violence Rating Prediction from Movie Scripts.

Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth S. Narayanan

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.

Nikolaos Malandrakis, Anil Ramakrishna, Victor R. Martinez, Tanner Sorensen, Dogan Can, Shrikanth S. Narayanan

Mach. Transl., 2018

Computational Modeling of Conversational Humor in Psychotherapy.

Anil Ramakrishna, Timothy Greer, David C. Atkins, Shrikanth S. Narayanan

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017

Linguistic analysis of differences in portrayal of movie characters.

Anil Ramakrishna, Victor R. Martinez, Nikolaos Malandrakis, Karan Singla, Shrikanth S. Narayanan

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.

Anil Ramakrishna, Rahul Gupta, Ruth B. Grossman, Shrikanth S. Narayanan

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015

Hierarchical Active Transfer Learning.

David C. Kale, Marjan Ghazvininejad, Anil Ramakrishna, Jingrui He, Yan Liu

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.

Daniel Bone, Matthew P. Black, Anil Ramakrishna, Ruth B. Grossman, Shrikanth S. Narayanan

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.

Tanaya Guha, Zhaojun Yang, Anil Ramakrishna, Ruth B. Grossman, Darren Hedley, Sungbok Lee, Shrikanth S. Narayanan

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A quantitative analysis of gender differences in movies using psycholinguistic normatives.

Anil Ramakrishna, Nikolaos Malandrakis, Elizabeth Staruk, Shrikanth S. Narayanan

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2013

An Interactive Web Based Spatio-Temporal Visualization System.

Anil Ramakrishna, Yu-Han Chang, Rajiv T. Maheswaran

Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013