Karthik Narasimhan
52 papers · 2014–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π Academic Marathon (11) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (13)
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Cross-Pollinator
(13)
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Renaissance Researcher
(10)
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Taxonomy Completionist
(79)
π§¬
Topic Evolution
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Dynamic Duo
(10)
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Triple Crown
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Keyword Champion
(2)
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Grand Slam
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Prolific Year
(9)
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Century Club
(52)
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Unstoppable
(7)
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The Questioner
(2)
ποΈ
Keyword Collector
(214)
Conferences
NIPS (14)
EMNLP (11)
ACL (9)
NAACL (6)
ICML (4)
IJCNLP (3)
ECCV (2)
AAAI (1)
COLING (1)
ICLR (1)
Top co-authors
Keywords
reinforcement learning
(6)
large language model
(6)
language model
(4)
language grounding
(4)
data multiplexing
(4)
self-attention network
(3)
theory of mind
(2)
representation learning
(2)
formal language
(2)
efficient computing
(2)
compositional generalization
(2)
imitation learning
(2)
transfer learning
(2)
inference throughput
(2)
model compression
(2)
visual question answering
(2)
text classification
(2)
decision making
(2)
benchmark evaluation
(2)
multimodal learning
(2)
Papers
LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks
COLING 2025
Referral Augmentation for Zero-Shot Information Retrieval
ACL 2024
InstructEval: Systematic Evaluation of Instruction Selection Methods
NAACL 2024
Language-guided World Models: A Model-based Approach to AI Control
ACL 2024
QualEval: Qualitative Evaluation for Model Improvement
NAACL 2024
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
NIPS 2024
C-STS: Conditional Semantic Textual Similarity
EMNLP 2023
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback
NIPS 2023
MUX-PLMs: Pre-training Language Models with Data Multiplexing
ACL 2023
Anthropomorphization of AI: Opportunities and Risks
EMNLP 2023
Reflexion: language agents with verbal reinforcement learning
NIPS 2023
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
NIPS 2023
PruMUX: Augmenting Data Multiplexing with Model Compression
ACL 2023
MUX-PLMs: Data Multiplexing for High-throughput Language Models
EMNLP 2023
Toxicity in chatgpt: Analyzing persona-assigned language models
EMNLP 2023
Using natural language and program abstractions to instill human inductive biases in machines
NIPS 2022
Learning Physics Constrained Dynamics Using Autoencoders
NIPS 2022
DataMUX: Data Multiplexing for Neural Networks
NIPS 2022
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
NIPS 2022
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA
ACL 2022
Multi-Query Video Retrieval
ECCV 2022
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer
NAACL 2022
Can Rationalization Improve Robustness?
NAACL 2022
Universal Adversarial Attacks with Natural Triggers for Text Classification
NAACL 2021
Improving Dialog Systems for Negotiation with Personality Modeling
IJCNLP 2021
Self-Attention Networks Can Process Bounded Hierarchical Languages
IJCNLP 2021
Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents
NAACL 2021
Improving Dialog Systems for Negotiation with Personality Modeling
ACL 2021
Self-Attention Networks Can Process Bounded Hierarchical Languages
ACL 2021
Learning Rewards From Linguistic Feedback
AAAI 2021
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
NIPS 2021
Safe Reinforcement Learning with Natural Language Constraints
NIPS 2021
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
ICML 2021
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies
ICML 2021
Guiding Attention for Self-Supervised Learning with Transformers
EMNLP 2020
Multimodal Graph Networks for Compositional Generalization in Visual Question Answering
NIPS 2020
Calibration, Entropy Rates, and Memory in Language Models
ICML 2020
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
NIPS 2020
Projection-Based Constrained Policy Optimization
ICLR 2020
Towards Unique and Informative Captioning of Images
ECCV 2020
Keep CALM and Explore: Language Models for Action Generation in Text-based Games
EMNLP 2020
Robust and Interpretable Grounding of Spatial References with Relation Networks
EMNLP 2020
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
NIPS 2019
Nonparametric Spherical Topic Modeling with Word Embeddings
ACL 2016
Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge
EMNLP 2016
Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning
EMNLP 2016
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
NIPS 2016
Machine Comprehension with Discourse Relations
IJCNLP 2015
JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes
ICML 2015
Language Understanding for Text-based Games using Deep Reinforcement Learning
EMNLP 2015
Machine Comprehension with Discourse Relations
ACL 2015
Morphological Segmentation for Keyword Spotting
EMNLP 2014