Anil Ramakrishna
26 papers · 2015–2026 · 8 venues · across top CS/AI venues
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Achievements
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(15)
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Research topics
Machine Learning
(21)
Natural Language Processing
(17)
Artificial Intelligence
(15)
Core AI
(14)
Learning Types Β· Machine Learning
(11)
Resources & Methods
(7)
Deep Learning
(6)
Applications
(6)
Core Methods
(6)
Optimization & Theory
(6)
Application Areas
(5)
Learning Types Β· Deep Learning
(5)
Generation
(4)
Interdisciplinary
(2)
Models
(2)
Keywords
large language model
(10)
machine unlearning
(6)
model editing
(4)
question answering
(2)
text generation
(2)
sentiment analysis
(2)
model utility
(2)
dialogue system
(2)
text classification
(2)
knowledge removal
(2)
natural language processing
(1)
named entity recognition
(1)
abusive language detection
(1)
continual learning
(1)
kl divergence
(1)
text mining
(1)
sequence labeling
(1)
abstract meaning representation
(1)
llm evaluation
(1)
intent classification
(1)
Papers
BLUR: A Bi-Level Optimization Approach for LLM Unlearning
EACL 2026
From Narrow Unlearning to Emergent Misalignment in LLMs
ACL 2026
SWAN: Semantic Watermarking with Abstract Meaning Representation
ACL 2026
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs
NAACL 2025
LUME: LLM Unlearning with Multitask Evaluations
EMNLP 2025
Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models
EMNLP 2025
On Localizing and Deleting Toxic Memories in Large Language Models
NAACL 2025
SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models
SemEval 2025
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
ICML 2025
Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation
ACL 2025
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate
NAACL 2025
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification
EMNLP 2024
Correcting Language Model Outputs by Editing Salient Layers
EACL 2024
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM
EMNLP 2024
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs
ACL 2024
INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations
EMNLP 2023
Sampling bias in NLU models: Impact and Mitigation
Interspeech 2023
Federated Learning with Noisy User Feedback
NAACL 2022
Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection
EMNLP 2022
Towards Realistic Single-Task Continuous Learning Research for NER
EMNLP 2021
Sentence Level Estimation of Psycholinguistic Norms Using Joint Multidimensional Annotations
Interspeech 2020
Violence Rating Prediction from Movie Scripts
AAAI 2019
Computational Modeling of Conversational Humor in Psychotherapy
Interspeech 2018
Linguistic analysis of differences in portrayal of movie characters
ACL 2017
An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators
Interspeech 2016
A quantitative analysis of gender differences in movies using psycholinguistic normatives
EMNLP 2015