Nonlinear dynamic modeling of the voiced excitation for improved speech synthesis. - Karthik Narasimhan; José C. Príncipe; Donald G. Childers (ICASSP, 1999)

Morphological Segmentation for Keyword Spotting. - Karthik Narasimhan; Damianos G. Karakos; Richard M. Schwartz; Stavros Tsakalidis; Regina Barzilay (EMNLP, 2014)

Machine Comprehension with Discourse Relations. - Karthik Narasimhan; Regina Barzilay (ACL (1), 2015)

Language Understanding for Text-based Games using Deep Reinforcement Learning. - Karthik Narasimhan; Tejas D. Kulkarni; Regina Barzilay (EMNLP, 2015)

JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes. - Jonathan H. Huggins; Karthik Narasimhan; Ardavan Saeedi; Vikash Mansinghka 001 (ICML, 2015)

An Unsupervised Method for Uncovering Morphological Chains. - Karthik Narasimhan; Regina Barzilay; Tommi S. Jaakkola (Trans. Assoc. Comput. Linguistics, 2015)

Nonparametric Spherical Topic Modeling with Word Embeddings. - Kayhan N. Batmanghelich; Ardavan Saeedi; Karthik Narasimhan; Samuel Gershman (ACL (2), 2016)

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge. - Nicholas Locascio; Karthik Narasimhan; Eduardo DeLeon; Nate Kushman; Regina Barzilay (EMNLP, 2016)

Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. - Karthik Narasimhan; Adam Yala; Regina Barzilay (EMNLP, 2016)

Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation. - Tejas D. Kulkarni; Karthik Narasimhan; Ardavan Saeedi; Josh Tenenbaum 001 (NIPS, 2016)

sk_p: a neural program corrector for MOOCs. - Yewen Pu; Karthik Narasimhan; Armando Solar-Lezama; Regina Barzilay (SPLASH (Companion Volume), 2016)

Constructing sub-word units for spoken term detection. - Charl Johannes van Heerden; Damianos G. Karakos; Karthik Narasimhan; Marelie H. Davel; Richard M. Schwartz (ICASSP, 2017)

Deep Transfer in Reinforcement Learning by Language Grounding. - Karthik Narasimhan; Regina Barzilay; Tommi S. Jaakkola (CoRR, 2017)

Unsupervised Learning of Morphological Forests. - Jiaming Luo; Karthik Narasimhan; Regina Barzilay (Trans. Assoc. Comput. Linguistics, 2017)

Grounding natural language with autonomous interaction. - Karthik Narasimhan (2017)

Grounding Language for Transfer in Deep Reinforcement Learning. - Karthik Narasimhan; Regina Barzilay; Tommi S. Jaakkola (J. Artif. Intell. Res., 2018)

Representation Learning for Grounded Spatial Reasoning. - Michaela Jänner; Karthik Narasimhan; Regina Barzilay (Trans. Assoc. Comput. Linguistics, 2018)

A System-Wide Debugging Assistant Powered by Natural Language Processing. - Pradeep Dogga; Karthik Narasimhan; Anirudh Sivaraman; Ravi Netravali (SoCC, 2019)

Task-Agnostic Dynamics Priors for Deep Reinforcement Learning. - Yilun Du; Karthik Narasimhan (ICML, 2019)

A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation. - Runzhe Yang; Xingyuan Sun; Karthik Narasimhan (NeurIPS, 2019)

Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation. - Felix Yu; Zhiwei Deng; Karthik Narasimhan; Olga Russakovsky (CVPR Workshops, 2020)

Towards Unique and Informative Captioning of Images. - Zeyu Wang 004; Berthy Feng; Karthik Narasimhan; Olga Russakovsky (ECCV (7), 2020)

Guiding Attention for Self-Supervised Learning with Transformers. - Ameet Deshpande; Karthik Narasimhan (EMNLP (Findings), 2020)

Robust and Interpretable Grounding of Spatial References with Relation Networks. - Tsung-Yen Yang; Andrew S. Lan; Karthik Narasimhan (EMNLP (Findings), 2020)

Keep CALM and Explore: Language Models for Action Generation in Text-based Games. - Shunyu Yao; Rohan Rao; Matthew J. Hausknecht; Karthik Narasimhan (EMNLP (1), 2020)

Projection-Based Constrained Policy Optimization. - Tsung-Yen Yang; Justinian Rosca; Karthik Narasimhan; Peter J. Ramadge (ICLR, 2020)

Calibration, Entropy Rates, and Memory in Language Models. - Mark Braverman; Xinyi Chen; Sham M. Kakade; Karthik Narasimhan; Cyril Zhang; Yi Zhang (ICML, 2020)

Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation. - Zhiwei Deng; Karthik Narasimhan; Olga Russakovsky (NeurIPS, 2020)

Multimodal Graph Networks for Compositional Generalization in Visual Question Answering. - Raeid Saqur; Karthik Narasimhan (NeurIPS, 2020)

Robust and Interpretable Grounding of Spatial References with Relation Networks. - Tsung-Yen Yang; Karthik Narasimhan (CoRR, 2020)

Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies. - Tsung-Yen Yang; Justinian Rosca; Karthik Narasimhan; Peter J. Ramadge (CoRR, 2020)

Generating Strategic Dialogue for Negotiation with Theory of Mind. - Runzhe Yang; Jingxiao Chen; Karthik Narasimhan (CoRR, 2020)

Context-Conditioning as Cognitive Control: Guiding Meta-learning with Task Information. - Rachit Dubey; Erin Grant; Michael Luo; Karthik Narasimhan; Thomas L. Griffiths 001 (CoRR, 2020)

Learning Rewards From Linguistic Feedback. - Theodore R. Sumers; Mark K. Ho; Robert X. D. Hawkins; Karthik Narasimhan; Thomas L. Griffiths 001 (AAAI, 2021)

Improving Dialog Systems for Negotiation with Personality Modeling. - Runzhe Yang; Jingxiao Chen; Karthik Narasimhan (ACL/IJCNLP (1), 2021)

Self-Attention Networks Can Process Bounded Hierarchical Languages. - Shunyu Yao; Binghui Peng; Christos H. Papadimitriou; Karthik Narasimhan (ACL/IJCNLP (1), 2021)

Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. - Austin W. Hanjie; Victor Zhong; Karthik Narasimhan (ICML, 2021)

Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies. - Tsung-Yen Yang; Justinian Rosca; Karthik Narasimhan; Peter J. Ramadge (ICML, 2021)

Universal Adversarial Attacks with Natural Triggers for Text Classification. - Liwei Song; Xinwei Yu; Hsuan-Tung Peng; Karthik Narasimhan (NAACL-HLT, 2021)

Reading and Acting while Blindfolded: The Need for Semantics in Text Game Agents. - Shunyu Yao; Karthik Narasimhan; Matthew J. Hausknecht (NAACL-HLT, 2021)

Safe Reinforcement Learning with Natural Language Constraints. - Tsung-Yen Yang; Michael Y. Hu; Yinlam Chow; Peter J. Ramadge; Karthik Narasimhan (NeurIPS, 2021)

SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark. - Victor Zhong; Austin W. Hanjie; Sida I. Wang; Karthik Narasimhan; Luke Zettlemoyer (NeurIPS, 2021)

Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. - H. J. Austin Wang; Karthik Narasimhan (CoRR, 2021)

Revelio: ML-Generated Debugging Queries for Distributed Systems. - Pradeep Dogga; Karthik Narasimhan; Anirudh Sivaraman; Shiv Kumar Saini; George Varghese; Ravi Netravali (CoRR, 2021)

SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark. - Victor Zhong; Austin W. Hanjie; Sida I. Wang; Karthik Narasimhan; Luke Zettlemoyer (CoRR, 2021)

CARETS: A Consistency And Robustness Evaluative Test Suite for VQA. - Carlos E. Jimenez; Olga Russakovsky; Karthik Narasimhan (ACL (1), 2022)

Leveraging Language for Accelerated Learning of Tool Manipulation. - Allen Z. Ren; Bharat Govil; Tsung-Yen Yang; Karthik R. Narasimhan; Anirudha Majumdar (CoRL, 2022)

Multi-query Video Retrieval. - Zeyu Wang 004; Yu Wu 011; Karthik Narasimhan; Olga Russakovsky (ECCV (14), 2022)

Multi-Stage Episodic Control for Strategic Exploration in Text Games. - Jens Tuyls; Shunyu Yao; Sham M. Kakade; Karthik Narasimhan (ICLR, 2022)

Linking Emergent and Natural Languages via Corpus Transfer. - Shunyu Yao; Mo Yu; Yang Zhang 001; Karthik R. Narasimhan; Joshua B. Tenenbaum; Chuang Gan 001 (ICLR, 2022)

Revelio: ML-Generated Debugging Queries for Finding Root Causes in Distributed Systems. - Pradeep Dogga; Karthik Narasimhan; Anirudh Sivaraman; Shiv Kumar Saini; George Varghese; Ravi Netravali (MLSys, 2022)

Can Rationalization Improve Robustness? - Howard Chen 003; Jacqueline He; Karthik Narasimhan; Danqi Chen 001 (NAACL-HLT, 2022)

When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer. - Ameet Deshpande; Partha Talukdar; Karthik Narasimhan (NAACL-HLT, 2022)

Using natural language and program abstractions to instill human inductive biases in machines. - Sreejan Kumar; Carlos G. Correa; Ishita Dasgupta 001; Raja Marjieh; Michael Y. Hu; Robert D. Hawkins; Jonathan D. Cohen 003; Nathaniel D. Daw; Karthik Narasimhan; Tom Griffiths 001 (NeurIPS, 2022)

DataMUX: Data Multiplexing for Neural Networks. - Vishvak Murahari; Carlos E. Jimenez; Runzhe Yang; Karthik Narasimhan (NeurIPS, 2022)

Learning Physics Constrained Dynamics Using Autoencoders. - Tsung-Yen Yang; Justinian Rosca; Karthik Narasimhan; Peter J. Ramadge (NeurIPS, 2022)

WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents. - Shunyu Yao; Howard Chen 003; John Yang 002; Karthik Narasimhan (NeurIPS, 2022)

Semantic Supervision: Enabling Generalization over Output Spaces. - Austin W. Hanjie; Ameet Deshpande; Karthik Narasimhan (CoRR, 2022)

ALIGN-MLM: Word Embedding Alignment is Crucial for Multilingual Pre-training. - Henry Tang; Ameet Deshpande; Karthik Narasimhan (CoRR, 2022)

SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers. - Ameet Deshpande; Md. Arafat Sultan; Anthony Ferritto; Ashwin Kalyan; Karthik Narasimhan; Avirup Sil (CoRR, 2022)

Controllable Text Generation with Language Constraints. - Howard Chen 003; Huihan Li 001; Danqi Chen 001; Karthik Narasimhan (CoRR, 2022)

PruMUX: Augmenting Data Multiplexing with Model Compression. - Yushan Su; Vishvak Murahari; Karthik Narasimhan; Kai Li (ACL (Findings), 2023)

C-STS: Conditional Semantic Textual Similarity. - Ameet Deshpande; Carlos E. Jimenez; Howard Chen 003; Vishvak Murahari; Victoria Graf; Tanmay Rajpurohit; Ashwin Kalyan; Danqi Chen 001; Karthik Narasimhan (EMNLP, 2023)

Toxicity in chatgpt: Analyzing persona-assigned language models. - Ameet Deshpande; Vishvak Murahari; Tanmay Rajpurohit; Ashwin Kalyan; Karthik Narasimhan (EMNLP (Findings), 2023)

MUX-PLMs: Data Multiplexing for High-throughput Language Models. - Vishvak Murahari; Ameet Deshpande; Carlos E. Jimenez; Izhak Shafran; Mingqiu Wang; Yuan Cao 007; Karthik Narasimhan (EMNLP (Findings), 2023)

ReAct: Synergizing Reasoning and Acting in Language Models. - Shunyu Yao; Jeffrey Zhao; Dian Yu; Nan Du 002; Izhak Shafran; Karthik R. Narasimhan; Yuan Cao 007 (ICLR, 2023)

SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification. - Pranjal Aggarwal; Ameet Deshpande; Karthik R. Narasimhan (ICML, 2023)

Reflexion: language agents with verbal reinforcement learning. - Noah Shinn; Federico Cassano; Ashwin Gopinath; Karthik Narasimhan; Shunyu Yao (NeurIPS, 2023)

InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback. - John Yang 002; Akshara Prabhakar; Karthik Narasimhan; Shunyu Yao (NeurIPS, 2023)

Tree of Thoughts: Deliberate Problem Solving with Large Language Models. - Shunyu Yao; Dian Yu; Jeffrey Zhao; Izhak Shafran; Tom Griffiths 001; Yuan Cao 007; Karthik Narasimhan (NeurIPS, 2023)

MUX-PLMs: Pre-training Language Models with Data Multiplexing. - Vishvak Murahari; Ameet Deshpande; Carlos E. Jimenez; Izhak Shafran; Mingqiu Wang; Yuan Cao 007; Karthik Narasimhan (RepL4NLP@ACL, 2023)

Building Scalable Video Understanding Benchmarks through Sports. - Aniket Agarwal; Alex Zhang; Karthik Narasimhan; Igor Gilitschenski; Vishvak Murahari; Yash Kant (CoRR, 2023)

Anthropomorphization of AI: Opportunities and Risks. - Ameet Deshpande; Tanmay Rajpurohit; Karthik Narasimhan; Ashwin Kalyan (CoRR, 2023)

CSTS: Conditional Semantic Textual Similarity. - Ameet Deshpande; Carlos E. Jimenez; Howard Chen 003; Vishvak Murahari; Victoria Graf; Tanmay Rajpurohit; Ashwin Kalyan; Danqi Chen 001; Karthik Narasimhan (CoRR, 2023)

Scaling Laws for Imitation Learning in NetHack. - Jens Tuyls; Dhruv Madeka; Kari Torkkola; Dean P. Foster; Karthik Narasimhan; Sham M. Kakade (CoRR, 2023)

FireAct: Toward Language Agent Fine-tuning. - Baian Chen; Chang Shu; Ehsan Shareghi; Nigel Collier; Karthik Narasimhan; Shunyu Yao (CoRR, 2023)

Progressively Efficient Learning. - Ruijie Zheng; Khanh Nguyen; Hal Daumé III; Furong Huang; Karthik Narasimhan (CoRR, 2023)

Referral Augmentation for Zero-Shot Information Retrieval. - Michael Tang; Shunyu Yao; John Yang 002; Karthik Narasimhan (ACL (Findings), 2024)

SWE-bench: Can Language Models Resolve Real-world Github Issues? - Carlos E. Jimenez; John Yang 002; Alexander Wettig; Shunyu Yao; Kexin Pei; Ofir Press; Karthik R. Narasimhan (ICLR, 2024)

COLLIE: Systematic Construction of Constrained Text Generation Tasks. - Shunyu Yao; Howard Chen 003; Austin W. Hanjie; Runzhe Yang; Karthik R. Narasimhan (ICLR, 2024)

GEO: Generative Engine Optimization. - Pranjal Aggarwal; Vishvak Murahari; Tanmay Rajpurohit; Ashwin Kalyan; Karthik Narasimhan; Ameet Deshpande (KDD, 2024)

InstructEval: Systematic Evaluation of Instruction Selection Methods. - Anirudh Ajith; Chris Pan; Mengzhou Xia; Ameet Deshpande; Karthik Narasimhan (NAACL-HLT (Findings), 2024)

QualEval: Qualitative Evaluation for Model Improvement. - Vishvak Murahari; Ameet Deshpande; Peter Clark; Tanmay Rajpurohit; Ashish Sabharwal; Karthik Narasimhan; Ashwin Kalyan (NAACL-HLT, 2024)

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering. - John Yang 002; Carlos E. Jimenez; Alexander Wettig; Kilian Lieret; Shunyu Yao; Karthik Narasimhan; Ofir Press (NeurIPS, 2024)

Language-Guided World Models: A Model-Based Approach to AI Control. - Alex Zhang; Khanh Nguyen; Jens Tuyls; Albert Lin; Karthik Narasimhan (CoRR, 2024)

RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs. - Shreyas Chaudhari; Pranjal Aggarwal; Vishvak Murahari; Tanmay Rajpurohit; Ashwin Kalyan; Karthik Narasimhan; Ameet Deshpande; Bruno Castro da Silva (CoRR, 2024)

Can Language Models Solve Olympiad Programming? - Quan Shi; Michael Tang; Karthik Narasimhan; Shunyu Yao (CoRR, 2024)

τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains. - Shunyu Yao; Noah Shinn; Pedram Razavi; Karthik Narasimhan (CoRR, 2024)

PersonaGym: Evaluating Persona Agents and LLMs. - Vinay Samuel; Henry Peng Zou; Yue Zhou; Shreyas Chaudhari; Ashwin Kalyan; Tanmay Rajpurohit; Ameet Deshpande; Karthik Narasimhan; Vishvak Murahari (CoRR, 2024)

ShieldGemma: Generative AI Content Moderation Based on Gemma. - Wenjun Zeng; Yuchi Liu; Ryan Mullins; Ludovic Peran; Joe Fernandez; Hamza Harkous; Karthik Narasimhan; Drew Proud; Piyush Kumar; Bhaktipriya Radharapu; Olivia Sturman; Oscar Wahltinez (CoRR, 2024)

LLMs are Superior Feedback Providers: Bootstrapping Reasoning for Lie Detection with Self-Generated Feedback. - Tanushree Banerjee; Richard Zhu; Runzhe Yang; Karthik Narasimhan (CoRR, 2024)

EnIGMA: Enhanced Interactive Generative Model Agent for CTF Challenges. - Talor Abramovich; Meet Udeshi; Minghao Shao; Kilian Lieret; Haoran Xi; Kimberly Milner; Sofija Jancheska; John Yang 002; Carlos E. Jimenez; Farshad Khorrami; Prashanth Krishnamurthy; Brendan Dolan-Gavitt; et al. (CoRR, 2024)

Cognitive Architectures for Language Agents. - Theodore R. Sumers; Shunyu Yao; Karthik Narasimhan; Thomas L. Griffiths 001 (Trans. Mach. Learn. Res., 2024)

Scaling Laws for Imitation Learning in Single-Agent Games. - Jens Tuyls; Dhruv Madeka; Kari Torkkola; Dean P. Foster; Karthik R. Narasimhan; Sham M. Kakade (Trans. Mach. Learn. Res., 2024)

Contextual Experience Replay for Self-Improvement of Language Agents. - Yitao Liu; Chenglei Si; Karthik R. Narasimhan; Shunyu Yao (ACL (1), 2025)

LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks. - Akshara Prabhakar; Yuanzhi Li; Karthik Narasimhan; Sham M. Kakade; Eran Malach; Samy Jelassi (COLING (Industry), 2025)

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains? - John Yang 002; Carlos E. Jimenez; Alex L. Zhang; Kilian Lieret; Joyce Yang; Xindi Wu; Ori Press; Niklas Muennighoff; Gabriel Synnaeve; Karthik R. Narasimhan; Diyi Yang; Sida Wang 001; et al. (ICLR, 2025)

{τ}-bench: A Benchmark for underline{T}ool- underline{A}gent- underline{U}ser Interaction in Real-World Domains. - Shunyu Yao; Noah Shinn; Pedram Razavi; Karthik R. Narasimhan (ICLR, 2025)

An Annotated Dataset of Errors in Premodern Greek and Baselines for Detecting Them. - Creston Brooks; Johannes Haubold; Charlie Cowen-Breen; Jay White; Desmond DeVaul; Frederick Riemenschneider; Karthik R. Narasimhan; Barbara Graziosi (NAACL (Findings), 2025)

ShieldGemma 2: Robust and Tractable Image Content Moderation. - Wenjun Zeng; Dana Kurniawan; Ryan Mullins; Yuchi Liu; Tamoghna Saha; Dirichi Ike-Njoku; Jindong Gu; Yiwen Song; Cai Xu; Jingjing Zhou; Aparna Joshi; Shravan Dheep; et al. (CoRR, 2025)

IMPersona: Evaluating Individual Level LM Impersonation. - Quan Shi; Carlos E. Jimenez; Stephen Dong; Brian Seo; Caden Yao; Adam Kelch; Karthik Narasimhan (CoRR, 2025)

Agent Context Protocols Enhance Collective Inference. - Devansh Bhardwaj; Arjun Beniwal; Shreyas Chaudhari; Ashwin Kalyan; Tanmay Rajpurohit; Karthik R. Narasimhan; Ameet Deshpande; Vishvak Murahari (CoRR, 2025)

VideoGameBench: Can Vision-Language Models complete popular video games? - Alex L. Zhang; Thomas L. Griffiths 001; Karthik R. Narasimhan; Ofir Press (CoRR, 2025)

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration. - Quan Shi; Carlos E. Jimenez; Shunyu Yao; Nick Haber; Diyi Yang; Karthik Narasimhan (CoRR, 2025)

τ2-Bench: Evaluating Conversational Agents in a Dual-Control Environment. - Victor Barres; Honghua Dong; Soham Ray; Xujie Si; Karthik Narasimhan (CoRR, 2025)

Probing AI Safety with Source Code. - Ujwal Narayan; Shreyas Chaudhari; Ashwin Kalyan; Tanmay Rajpurohit; Karthik Narasimhan; Ameet Deshpande; Vishvak Murahari (CoRR, 2025)