Anil Ramakrishna

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 29

Top Topics

Expectation Maximization

Quantitative Analysis

Computational Modeling

Top Venues

Publications

Duygu Nur Yaldiz, Yavuz Faruk Bakman, Baturalp Buyukates, Chenyang Tao, Anil Ramakrishna, Dimitrios Dimitriadis, Salman Avestimehr
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs. CoRR (2024)
Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung
REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy. CoRR (2024)
Tiantian Feng, Anil Ramakrishna, Jimit Majmudar, Charith Peris, Jixuan Wang, Clement Chung, Richard S. Zemel, Morteza Ziyadi, Rahul Gupta
Partial Federated Learning. CoRR (2024)
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. ACL (1) (2024)
Kshitij Mishra, Tamer Soliman, Anil Ramakrishna, Aram Galstyan, Anoop Kumar
Correcting Language Model Outputs by Editing Salient Layers. EACL (Findings) (2024)
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. CoRR (2024)
Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
JAB: Joint Adversarial Prompting and Belief Augmentation. CoRR (2023)
Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan
FedMultimodal: A Benchmark for Multimodal Federated Learning. KDD (2023)
Ansel MacLaughlin, Anna Rumshisky, Rinat Khaziev, Anil Ramakrishna, Yuval Merhav, Rahul Gupta
Self-Healing Through Error Detection, Attribution, and Retraining. ICASSP (2023)
Tiantian Feng, Digbalay Bose, Tuo Zhang, Rajat Hebbar, Anil Ramakrishna, Rahul Gupta, Mi Zhang, Salman Avestimehr, Shrikanth Narayanan
FedMultimodal: A Benchmark For Multimodal Federated Learning. CoRR (2023)
Anil Ramakrishna, Rahul Gupta, Jens Lehmann, Morteza Ziyadi
INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations. EMNLP (Findings) (2023)
Zefei Li, Anil Ramakrishna, Anna Rumshisky, Andy Rosenbaum, Saleh Soltan, Rahul Gupta
Sampling bias in NLU models: Impact and Mitigation. INTERSPEECH (2023)
Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta
Federated Learning with Noisy User Feedback. CoRR (2022)
Anil Ramakrishna, Rahul Gupta, Shrikanth Narayanan
Joint Multi-Dimensional Model for Global and Time-Series Annotations. IEEE Trans. Affect. Comput. 13 (1) (2022)
Stefan Schroedl, Manoj Kumar, Kiana Hajebi, Morteza Ziyadi, Sriram Venkatapathy, Anil Ramakrishna, Rahul Gupta, Pradeep Natarajan
Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection. EMNLP (Industry Track) (2022)
Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta
Federated Learning with Noisy User Feedback. NAACL-HLT (2022)
Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar, Rahul Gupta
Towards Realistic Single-Task Continuous Learning Research for NER. EMNLP (Findings) (2021)
Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar, Rahul Gupta
Towards Realistic Single-Task Continuous Learning Research for NER. CoRR (2021)
Anil Ramakrishna, Shrikanth Narayanan
Sentence Level Estimation of Psycholinguistic Norms Using Joint Multidimensional Annotations. INTERSPEECH (2020)
Anil Ramakrishna, Shrikanth Narayanan
Sentence level estimation of psycholinguistic norms using joint multidimensional annotations. CoRR (2020)
Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth Narayanan
Victim or Perpetrator? Analysis of Violent Characters Portrayals from Movie Scripts. CoRR (2020)
Anil Ramakrishna, Rahul Gupta, Shrikanth Narayanan
Joint Multi-Dimensional Model for Global and Time-Series Annotations. CoRR (2020)
Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth S. Narayanan
Violence Rating Prediction from Movie Scripts. AAAI (2019)
Victor R. Martinez, Anil Ramakrishna, Ming-Chang Chiu, Karan Singla, Shrikanth S. Narayanan
A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPA's LORELEI project. ACII (2019)
Victor R. Martinez, Anil Ramakrishna, Ming-Chang Chiu, Karan Singla, Shrikanth S. Narayanan
A system for the 2019 Sentiment, Emotion and Cognitive State Task of DARPAs LORELEI project. CoRR (2019)
Anil Ramakrishna, Timothy Greer, David C. Atkins, Shrikanth S. Narayanan
Computational Modeling of Conversational Humor in Psychotherapy. INTERSPEECH (2018)
Nikolaos Malandrakis, Anil Ramakrishna, Victor R. Martinez, Tanner Sorensen, Dogan Can, Shrikanth S. Narayanan
The ELISA Situation Frame extraction for low resource languages pipeline for LoReHLT'2016. Mach. Transl. 32 (1-2) (2018)
Anil Ramakrishna, Victor R. Martinez, Nikolaos Malandrakis, Karan Singla, Shrikanth S. Narayanan
Linguistic analysis of differences in portrayal of movie characters. ACL (1) (2017)
Anil Ramakrishna, Rahul Gupta, Ruth B. Grossman, Shrikanth S. Narayanan
An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators. INTERSPEECH (2016)
Anil Ramakrishna, Nikolaos Malandrakis, Elizabeth Staruk, Shrikanth S. Narayanan
A quantitative analysis of gender differences in movies using psycholinguistic normatives. EMNLP (2015)
Daniel Bone, Matthew P. Black, Anil Ramakrishna, Ruth B. Grossman, Shrikanth S. Narayanan
Acoustic-prosodic correlates of 'awkward' prosody in story retellings from adolescents with autism. INTERSPEECH (2015)
Tanaya Guha, Zhaojun Yang, Anil Ramakrishna, Ruth B. Grossman, Darren Hedley, Sungbok Lee, Shrikanth S. Narayanan
On quantifying facial expression-related atypicality of children with Autism Spectrum Disorder. ICASSP (2015)
David C. Kale, Marjan Ghazvininejad, Anil Ramakrishna, Jingrui He, Yan Liu
Hierarchical Active Transfer Learning. SDM (2015)
Anil Ramakrishna, Yu-Han Chang, Rajiv T. Maheswaran
An Interactive Web Based Spatio-Temporal Visualization System. ISVC (2) (2013)