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KN

Karthik R. Narasimhan

cs.CLcs.AIcs.LGcs.CVcs.SEstat.MLcs.HCcs.ROcs.IRcs.CR

On Valency

published · living versions
W_472urbcs·v1 · currentpublished
FrontierCS 2: A Benchmark for Computer Science R&D
with Qiuyang Mang, Wenhao Chai, Runyuan He, Dongruixuan Li +56
1 version

Preprints & journals

106 papers in the corpus · 2015–2026
FrontierCS 2: A Benchmark for Computer Science R&D2610.29932v1 · Qiuyang Mang, Wenhao Chai, Runyuan He et al.2026 · 0 citationsarXivon Valency
The Wealth of Agents: Scaling Agentic AI Across Developers2610.20518v1 · Austin W. Hanjie, Carlos E. Jimenez, Zirui Wang et al.2026 · 0 citationsarXiv
SWEeper-Bench: Can Agents Discover Bugs in Interactive Software?2610.14096v1 · Yang Yao, Haozhe Chen, Bingyi Kang et al.2026 · 0 citationsarXiv
Adapter Thickets: Splitting an RLVR Budget Beats Concentrating It2610.00991v2 · Jonathan Williams, Esin Tureci, Karthik R. Narasimhan2026 · 0 citationsarXiv
EasyPPO: Stabilizing the Critic Is Key2609.36802v1 · Xuanyi Zhou, Qiuyang Mang, Huanzhi Mao et al.2026 · 0 citationsarXiv
Up and Down the Abstraction Ladder: Code-Based Skills for Language Agents2609.31076v1 · Bart\lomiej Cupiał, Jens Tuyls, Maciej Wo\lczyk et al.2026 · 0 citationsarXiv
How does Adversarial Influence Scale in Multi-Agent Systems?2609.30028v2 · Addison J. Wu, Jasin Cekinmez, Michel Liao et al.2026 · 0 citationsarXiv
τ\tau-Multilingual: Benchmarking Voice Agents Across Languages2609.35820v1 · Soham Ray, Edgard dos Santos Paiva, Ruben Valenzuela et al.2026 · 0 citationsarXiv
ττ\tau^\tau-Bench: An Environment for End-To-End, Realistic Agent Construction2609.04611v1 · Quan Shi, Keshav Dhandhania, Karthik Narasimhan et al.2026 · 0 citationsarXiv
LeAct: Learning to Reason from Expert Actions2607.21856v1 · Ziran Yang, Chengshuai Shi, Raj Ghugare et al.2026 · 0 citationsarXiv
Humans are Missing from AI Coding Agent Research2608.12355v1 · Zora Z. Wang, John Yang, Kilian Lieret et al.2026 · 0 citationsarXiv
CEO-Bench: Can Agents Play the Long Game?2606.18543v2 · Haozhe Chen, Karthik Narasimhan, Zhuang Liu2026 · 0 citationsarXiv
Context-Aware RL for Agentic and Multimodal LLMs2606.17053v1 · Peiyang Xu, Bangzheng Li, Sijia Liu et al.2026 · 0 citationsarXiv
τ\tau-Rec: A Verifiable Benchmark for Agentic Recommender Systems2606.10156v3 · Bharath Sivaram Narasimhan, Karthik R Narasimhan2026 · 0 citationsProceedings of the 20th ACM Conference on Recommender Systems (RecSys '26), pp. 915-919, 2026
Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning2605.00347v1 · Chengshuai Shi, Wenzhe Li, Xinran Liang et al.2026 · 0 citationsarXiv
τ\tau-Voice: Benchmarking Full-Duplex Voice Agents on Real-World Domains2603.13686v1 · Soham Ray, Keshav Dhandhania, Victor Barres et al.2026 · 0 citationsarXiv
τ\tau-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge2603.04370v1 · Quan Shi, Alexandra Zytek, Pedram Razavi et al.2026 · 0 citationsarXiv
Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting2510.18874v3 · Howard Chen, Noam Razin, Karthik Narasimhan et al.2025 · 0 citationsProceedings of the 43rd International Conference on Machine Learning (ICML), 2026
Training a high accuracy model to visualize blood clots during mechanical thrombectomy for the treatment of Acute Ischemic Stroke.41541866 · Kashyap, Varun, Zhu, Richard, Narasimhan, Karthik2026 · 1 citationFrontiers in stroke. 2025;4:1610399
BuilderBench: The Building Blocks of Intelligent Agents2510.06288v4 · Raj Ghugare, Roger Creus Castanyer, Catherine Ji et al.2025 · 0 citationsarXiv
Probing AI Safety with Source Code2506.20471v1 · Ujwal Narayan, Shreyas Chaudhari, Ashwin Kalyan et al.2025 · 0 citationsarXiv
τ2\tau^2-Bench: Evaluating Conversational Agents in a Dual-Control Environment2506.07982v1 · Victor Barres, Honghua Dong, Soham Ray et al.2025 · 1 citationarXiv
Contextual Experience Replay for Self-Improvement of Language Agents2506.06698v1 · Yitao Liu, Chenglei Si, Karthik Narasimhan et al.2025 · 3 citationsarXiv
VideoGameBench: Can Vision-Language Models complete popular video games?2505.18134v3 · Alex L. Zhang, Thomas L. Griffiths, Karthik R. Narasimhan et al.2025 · 0 citationsarXiv
Agent Context Protocols Enhance Collective Inference2505.14569v1 · Devansh Bhardwaj, Arjun Beniwal, Shreyas Chaudhari et al.2025 · 0 citationsarXiv
IMPersona: Evaluating Individual Level LM Impersonation2504.04332v2 · Quan Shi, Carlos E. Jimenez, Stephen Dong et al.2025 · 0 citationsarXiv
LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks2410.13025v2 · Akshara Prabhakar, Yuanzhi Li, Karthik Narasimhan et al.2024 · 0 citationsarXiv
An Annotated Dataset of Errors in Premodern Greek and Baselines for Detecting Them2410.11071v2 · Creston Brooks, Johannes Haubold, Charlie Cowen-Breen et al.2024 · 0 citationsarXiv
SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?2410.03859v1 · John Yang, Carlos E. Jimenez, Alex L. Zhang et al.2024 · 3 citationsarXiv
EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities2409.16165v3 · Talor Abramovich, Meet Udeshi, Minghao Shao et al.2024 · 1 citationarXiv
ShieldGemma: Generative AI Content Moderation Based on Gemma2407.21772v2 · Wenjun Zeng, Yuchi Liu, Ryan Mullins et al.2024 · 3 citationsarXiv
PersonaGym: Evaluating Persona Agents and LLMs2407.18416v5 · Vinay Samuel, Henry Peng Zou, Yue Zhou et al.2024 · 16 citationsarXiv
τ\tau-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains2406.12045v1 · Shunyu Yao, Noah Shinn, Pedram Razavi et al.2024 · 7 citationsarXiv
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering2405.15793v3 · John Yang, Carlos E. Jimenez, Alexander Wettig et al.2024 · 260 citationsarXiv
Can Language Models Solve Olympiad Programming?2404.10952v1 · Quan Shi, Michael Tang, Karthik Narasimhan et al.2024 · 3 citationsarXiv
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs2404.08555v2 · Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari et al.2024 · 91 citationsarXiv
Language-Guided World Models: A Model-Based Approach to AI Control2402.01695v3 · Alex Zhang, Khanh Nguyen, Jens Tuyls et al.2024 · 1 citationarXiv
GEO: Generative Engine Optimization2311.09735v3 · Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit et al.2023 · 5 citationsarXiv
QualEval: Qualitative Evaluation for Model Improvement2311.02807v2 · Vishvak Murahari, Ameet Deshpande, Peter Clark et al.2023 · 0 citationsarXiv
Progressively Efficient Learning2310.13004v1 · Ruijie Zheng, Khanh Nguyen, Hal Daum'e III et al.2023 · 0 citationsarXiv
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?2310.06770v3 · Carlos E. Jimenez, John Yang, Alexander Wettig et al.2023 · 69 citationsarXiv
FireAct: Toward Language Agent Fine-tuning2310.05915v1 · Baian Chen, Chang Shu, Ehsan Shareghi et al.2023 · 9 citationsarXiv
Cognitive Architectures for Language Agents2309.02427v3 · Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan et al.2023 · 73 citationsarXiv
Scaling Laws for Imitation Learning in Single-Agent Games2307.09423v3 · Jens Tuyls, Dhruv Madeka, Kari Torkkola et al.2023 · 0 citationsarXiv
COLLIE: Systematic Construction of Constrained Text Generation Tasks2307.08689v1 · Shunyu Yao, Howard Chen, Austin W. Hanjie et al.2023 · 2 citationsarXiv
InstructEval: Systematic Evaluation of Instruction Selection Methods2307.00259v2 · Anirudh Ajith, Chris Pan, Mengzhou Xia et al.2023 · 6 citationsarXiv
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback2306.14898v3 · John Yang, Akshara Prabhakar, Karthik Narasimhan et al.2023 · 26 citationsarXiv
PruMUX: Augmenting Data Multiplexing with Model Compression2305.14706v2 · Yushan Su, Vishvak Murahari, Karthik Narasimhan et al.2023 · 0 citationsarXiv
Career total: 149 works. 106 are in this corpus.Showing the 50 most recent.

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