Anil Ramakrishna
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
13
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | From Narrow Unlearning to Emergent Misalignment in LLMs. | Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna, Sattvik Sahai, Prasoon Goyal, Kai-Wei Chang, Tao Zhang, Rahul Gupta |
| 2026 | ACL | SWAN: Semantic Watermarking with Abstract Meaning Representation. | Ziping Ye, Gourab Dey, Christos Christodoulopoulos, Charith Peris, Anil Ramakrishna, Weitong Ruan, Aram Galstyan, Kai-Wei Chang, Rahul Gupta, Ninareh Mehrabi |
| 2026 | EACL | BLUR: A Bi-Level Optimization Approach for LLM Unlearning. | Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong |
| 2025 | ACL | Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation. | Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna, Xinyan Zhao, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris |
| 2025 | CVPR | HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models. | Erum Mushtaq, Zalan Fabian, Yavuz Faruk Bakman, Anil Ramakrishna, Mahdi Soltanolkotabi, Salman Avestimehr |
| 2025 | EMNLP | LUME: LLM Unlearning with Multitask Evaluations. | Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta |
| 2025 | EMNLP | Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models. | Yixin Wan, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Rahul Gupta |
| 2025 | ICML | Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond. | Chongyu Fan, Jinghan Jia, Yihua Zhang, Anil Ramakrishna, Mingyi Hong, Sijia Liu |
| 2025 | NAACL | On Localizing and Deleting Toxic Memories in Large Language Models. | Anubrata Das, Manoj Kumar, Ninareh Mehrabi, Anil Ramakrishna, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Morteza Ziyadi, Rahul Gupta |
| 2025 | NAACL | Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate. | Xiaomeng Jin, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong |
| 2025 | NAACL | 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, Jieyu Zhao, Salman Avestimehr |
| 2024 | ACL | 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 |
| 2024 | EACL | Correcting Language Model Outputs by Editing Salient Layers. | Kshitij Mishra, Tamer Soliman, Anil Ramakrishna, Aram Galstyan, Anoop Kumar |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2023 | EMNLP | INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations. | Anil Ramakrishna, Rahul Gupta, Jens Lehmann, Morteza Ziyadi |
| 2023 | ICASSP | Self-Healing Through Error Detection, Attribution, and Retraining. | Ansel MacLaughlin, Anna Rumshisky, Rinat Khaziev, Anil Ramakrishna, Yuval Merhav, Rahul Gupta |
| 2023 | Interspeech | Sampling bias in NLU models: Impact and Mitigation. | Zefei Li, Anil Ramakrishna, Anna Rumshisky, Andy Rosenbaum, Saleh Soltan, Rahul Gupta |
| 2023 | KDD | 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 |
| 2022 | EMNLP | 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 |
| 2022 | NAACL | Federated Learning with Noisy User Feedback. | Rahul Sharma, Anil Ramakrishna, Ansel MacLaughlin, Anna Rumshisky, Jimit Majmudar, Clement Chung, Salman Avestimehr, Rahul Gupta |
| 2021 | EMNLP | Towards Realistic Single-Task Continuous Learning Research for NER. | Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar, Rahul Gupta |
| 2020 | Interspeech | Sentence Level Estimation of Psycholinguistic Norms Using Joint Multidimensional Annotations. | Anil Ramakrishna, Shrikanth Narayanan |
| 2019 | AAAI | Violence Rating Prediction from Movie Scripts. | Victor R. Martinez, Krishna Somandepalli, Karan Singla, Anil Ramakrishna, Yalda T. Uhls, Shrikanth S. Narayanan |
| 2019 | ACII | 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 |
| 2018 | Interspeech | Computational Modeling of Conversational Humor in Psychotherapy. | Anil Ramakrishna, Timothy Greer, David C. Atkins, Shrikanth S. Narayanan |
| 2017 | ACL | Linguistic analysis of differences in portrayal of movie characters. | Anil Ramakrishna, Victor R. Martinez, Nikolaos Malandrakis, Karan Singla, Shrikanth S. Narayanan |
| 2016 | Interspeech | An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators. | Anil Ramakrishna, Rahul Gupta, Ruth B. Grossman, Shrikanth S. Narayanan |
| 2015 | EMNLP | A quantitative analysis of gender differences in movies using psycholinguistic normatives. | Anil Ramakrishna, Nikolaos Malandrakis, Elizabeth Staruk, Shrikanth S. Narayanan |
| 2015 | ICASSP | 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 |
| 2015 | Interspeech | 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 |
| 2015 | SDM | Hierarchical Active Transfer Learning. | David C. Kale, Marjan Ghazvininejad, Anil Ramakrishna, Jingrui He, Yan Liu |
| 2013 | ISVC | An Interactive Web Based Spatio-Temporal Visualization System. | Anil Ramakrishna, Yu-Han Chang, Rajiv T. Maheswaran |