HP
Hamid Palangi
cs.CLcs.AIcs.LGcs.CVcs.MAeess.IVstat.MLcs.CRcs.IRcompositionality
On Valency
published · living versionsW_33ypsx3u·v1 · currentpublished
Personalized health coaching via coachable health age and counterfactual wearable trajectories
with Simon A. Lee, Zeinab Esmaeilpour, Menglian Zhou, Marius Guerard +15
1 version
Preprints & journals
76 papers in the corpus · 2013–2026The anatomy of a personal health agent.42907512 · Heydari, A Ali, Gu, Ken, Srinivas, Vidya et al.2026 · 7 citationsNature. 2026;659(8139):197-207
Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory2610.19366v1 · Minghao Guo, Qingyue Jiao, Xiujin Liu et al.2026 · 0 citationsarXiv
ReSolve: Reusing Candidate Reasoning through Selective Generative Moderation2610.01140v2 · Bangji Yang, Jiajun Fan, Hongbo Ma et al.2026 · 0 citationsarXiv
Locating Hidden Failures Makes Long-Horizon Agents More Reliable2609.17930v1 · Salman Rahman, Yubin Kim, Mihir Parmar et al.2026 · 0 citationsarXiv
RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills2606.18203v1 · Weizhi Zhang, Zechen Li, Hamid Palangi et al.2026 · 0 citationsarXiv
The ACUTE Protocol: Operationalizing Language Model Activations for Better Calibration, Utility, and Trust2606.07822v2 · Nishant Subramani, Palash Goyal, Yiwen Song et al.2026 · 0 citationsarXiv
Towards a General Intelligence and Interface for Wearable Health Data2605.22759v3 · Girish Narayanswamy, Maxwell A. Xu, A. Ali Heydari et al.2026 · 0 citationsarXiv
TeamBench: Evaluating Agent Coordination under Enforced Role Separation2605.07073v1 · Yubin Kim, Chanwoo Park, Taehan Kim et al.2026 · 0 citationsarXiv
When Can LLMs Learn to Reason with Weak Supervision?2604.18574v1 · Salman Rahman, Jingyan Shen, Anna Mordvina et al.2026 · 0 citationsarXiv
An AI Co-Data-Scientist for Prioritizing Candidate Biomarkers from Wearable Sensor Data2604.14615v2 · Yubin Kim, Salman Rahman, Samuel Schmidgall et al.2026 · 2 citationsarXiv
TFRBench: A Reasoning Benchmark for Evaluating Forecasting Systems2604.05364v1 · Md Atik Ahamed, Mihir Parmar, Palash Goyal et al.2026 · 0 citationsarXiv
ScholarPeer: A Context-Aware Multi-Agent Framework for Automated Peer Review2601.22638v2 · Palash Goyal, Mihir Parmar, Yiwen Song et al.2026 · 0 citationsarXiv
InfSplign: Inference-Time Spatial Alignment of Text-to-Image Diffusion Models2512.17851v2 · Sarah Rastegar, Violeta Chatalbasheva, Sieger Falkena et al.2025 · 0 citationsarXiv
Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models2511.05460v1 · Sarkar Snigdha Sarathi Das, Palash Goyal, Mihir Parmar et al.2025 · 0 citationsarXiv
Watch and Learn: Learning to Use Computers from Online Videos2510.04673v3 · Chan Hee Song, Yiwen Song, Palash Goyal et al.2025 · 0 citationsarXiv
GuidedSampling: Steering LLMs Towards Diverse Candidate Solutions at Inference-Time2510.03777v2 · Divij Handa, Mihir Parmar, Aswin RRV et al.2025 · 0 citationsarXiv
VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation2510.05156v1 · Lesly Miculicich, Mihir Parmar, Hamid Palangi et al.2025 · 2 citationsarXiv
Judging with Confidence: Calibrating Autoraters to Preference Distributions2510.00263v1 · Zhuohang Li, Xiaowei Li, Chengyu Huang et al.2025 · 0 citationsarXiv
LLM-Based Multi-Agent Blackboard System for Information Discovery in Data Science2510.01285v2 · Alireza Salemi, Mihir Parmar, Palash Goyal et al.2025 · 2 citationsarXiv
HEART: Emotionally-Driven Test-Time Scaling of Language Models2509.22876v6 · Gabriela Pinto, Palash Goyal, Mihir Parmar et al.2025 · 0 citationsarXiv
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving2507.07495v1 · Mihir Parmar, Palash Goyal, Xin Liu et al.2025 · 1 citationarXiv
Learn Globally, Speak Locally: Bridging the Gaps in Multilingual Reasoning2507.05418v2 · Jaedong Hwang, Kumar Tanmay, Seok-Jin Lee et al.2025 · 0 citationsarXiv
ModelCitizens: Representing Community Voices in Online Safety2507.05455v2 · Ashima Suvarna, Christina Chance, Karolina Naranjo et al.2025 · 0 citationsarXiv
RADAR: Benchmarking Language Models on Imperfect Tabular Data2506.08249v2 · Ken Gu, Zhihan Zhang, Kate Lin et al.2025 · 0 citationsarXiv
AI Debate Aids Assessment of Controversial Claims2506.02175v2 · Salman Rahman, Sheriff Issaka, Ashima Suvarna et al.2025 · 1 citationarXiv
X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents2504.13203v2 · Salman Rahman, Liwei Jiang, James Shiffer et al.2025 · 0 citationsarXiv
On the Role of Feedback in Test-Time Scaling of Agentic AI Workflows2504.01931v4 · Souradip Chakraborty, Mohammadreza Pourreza, Ruoxi Sun et al.2025 · 0 citationsarXiv
ShieldGemma 2: Robust and Tractable Image Content Moderation2504.01081v2 · Wenjun Zeng, Dana Kurniawan, Ryan Mullins et al.2025 · 0 citationsarXiv
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents2503.08026v2 · Zhen Tan, Jun Yan, I-Hung Hsu et al.2025 · 17 citationsarXiv
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation2503.07826v1 · Fan Yin, Zifeng Wang, I-Hung Hsu et al.2025 · 2 citationsarXiv
Language Models' Factuality Depends on the Language of Inquiry2502.17955v1 · Tushar Aggarwal, Kumar Tanmay, Ayush Agrawal et al.2025 · 0 citationsarXiv
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving2502.16111v1 · Mihir Parmar, Xin Liu, Palash Goyal et al.2025 · 7 citationsarXiv
Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems2502.04510v2 · Shangbin Feng, Zifeng Wang, Palash Goyal et al.2025 · 0 citationsarXiv
Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies2502.02533v2 · Han Zhou, Xingchen Wan, Ruoxi Sun et al.2025 · 0 citationsarXiv
Reverse Thinking Makes LLMs Stronger Reasoners2411.19865v2 · Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi et al.2024 · 4 citationsarXiv
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence2410.11163v2 · Shangbin Feng, Zifeng Wang, Yike Wang et al.2024 · 2 citationsarXiv
MMMT-IF: A Challenging Multimodal Multi-Turn Instruction Following Benchmark2409.18216v1 · Elliot L. Epstein, Kaisheng Yao, Jing Li et al.2024 · 0 citationsarXiv
Eureka: Evaluating and Understanding Large Foundation Models2409.10566v1 · Vidhisha Balachandran, Jingya Chen, Neel Joshi et al.2024 · 2 citationsarXiv
Improving Black-box Robustness with In-Context Rewriting2402.08225v3 · Kyle O'Brien, Nathan Ng, Isha Puri et al.2024 · 0 citationsarXiv
Exploring Group and Symmetry Principles in Large Language Models2402.06120v3 · Shima Imani, Hamid Palangi2024 · 0 citationsarXiv
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia2312.02073v3 · Giovanni Monea, Maxime Peyrard, Martin Josifoski et al.2023 · 4 citationsarXiv
Orca 2: Teaching Small Language Models How to Reason2311.11045v2 · Arindam Mitra, Luciano Del Corro, Shweti Mahajan et al.2023 · 30 citationsarXiv
A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications2310.17750v1 · Ahmed Magooda, Alec Helyar, Kyle Jackson et al.2023 · 2 citationsarXiv
Diversity of Thought Improves Reasoning Abilities of LLMs2310.07088v2 · Ranjita Naik, Varun Chandrasekaran, Mert Yuksekgonul et al.2023 · 3 citationsarXiv
Teaching Language Models to Hallucinate Less with Synthetic Tasks2310.06827v3 · Erik Jones, Hamid Palangi, Clarisse Simoes et al.2023 · 5 citationsarXiv
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models2309.15098v2 · Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones et al.2023 · 4 citationsarXiv
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval2309.15129v1 · Ida Momennejad, Hosein Hasanbeig, Felipe Vieira et al.2023 · 27 citationsarXiv
Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models2307.10522v1 · Somayeh Ghanbarzadeh, Yan Huang, Hamid Palangi et al.2023 · 17 citationsACL 2023
Improving the Reusability of Pre-trained Language Models in Real-world Applications2307.10457v3 · Somayeh Ghanbarzadeh, Hamid Palangi, Yan Huang et al.2023 · 0 citationsarXiv
Orca: Progressive Learning from Complex Explanation Traces of GPT-42306.02707v1 · Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar et al.2023 · 68 citationsarXiv
Career total: 117 works. 76 are in this corpus.Showing the 50 most recent.
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