← Authors

Karthik Narasimhan

52 papers · 2014–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (10) πŸ—ΊοΈ Taxonomy Completionist (79) 🧬 Topic Evolution 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam ⚑ Prolific Year (9) πŸ’Ž Century Club (52) πŸ”₯ Unstoppable (7) ❓ The Questioner (2) πŸ—ƒοΈ 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

Shunyu Yao (10) Ameet Deshpande (9) Vishvak Murahari (7) Regina Barzilay (6) Tsung-Yen Yang (5) Runzhe Yang (4) Ashwin Kalyan (4) Tanmay Rajpurohit (4) Olga Russakovsky (4) John Yang (4)

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