Jiaming Ji

32 papers · 2022–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (57) 👥 Mega-Team · Squad

👥 Mega-Team · Squad 🧭 Keyword Pioneer 🤝 Dynamic Duo (22) 🏆 Grand Slam ⚡ Prolific Year · Prolific 🔥 Unstoppable · Bronze ❓ The Questioner (2) 💎 Century Club · Bronze 🌈 Renaissance Researcher (7) 🗃️ Keyword Collector (155)

Venues

ACL (15) NeurIPS (7) AAAI (4) ICLR (2) JMLR (2) CVPR (1) ICML (1)

Top co-authors

Yaodong Yang (22) Juntao Dai (11) Sirui Han (10) Yike Guo (9) Josef Dai (8) Jiayi Zhou (6) Xuehai Pan (6) Boyuan Chen (5) Han Zhu (5) Chi-Min Chan (5)

Research topics

Artificial Intelligence (29) Core AI (29) Machine Learning (12) Deep Learning (11) Learning Types · Deep Learning (9) Learning Types · Machine Learning (9) Reinforcement Learning (8) Methods (7) Natural Language Processing (6) Models (6) Optimization & Theory · Machine Learning (6) Resources & Methods (4) Applications (2) Optimization & Theory · Deep Learning (2) Computer Vision (1)

Keywords

large language model (11) safe reinforcement learning (7) reinforcement learning from human feedback (6) constraint satisfaction (4) policy optimization (4) multimodal large language model (3) safety alignment (3) human preference (3) human preference alignment (2) reward model (2) value alignment (2) lagrangian method (2) nash equilibrium (2) preference learning (2) reward modeling (2) preference optimization (2) benchmark evaluation (2) ai safety (2) language model alignment (2) responsible ai (2)

Papers

A Game-Theoretica Negotiation Framework for Cross-Cultural Consensus ACL 2026 AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments ACL 2026 Arcadia: Toward a Full-Lifecycle Framework for Embodied Lifelong Learning CVPR 2026 Benchmarking Fine-Grained Error Detection in Multimodal Reasoning ACL 2026 Omni-RewardBench: Toward a Comprehensive Evaluation of Generative Reward Models Across Modalities ACL 2026 SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead Reasoning ACL 2026 SafeMT: Multi-turn Safety for Multimodal Language Models ACL 2026 What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning AAAI 2026 A Survey of LLM-based Agents in Medicine: How far are we from Baymax? ACL 2025 Benchmarking Multi-National Value Alignment for Large Language Models ACL 2025 Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA ACL 2025 FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation ACL 2025 Language Models Resist Alignment: Evidence From Data Compression ACL 2025 LegalReasoner: Step-wised Verification-Correction for Legal Judgment Reasoning ACL 2025 PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference ACL 2025 Reward Generalization in RLHF: A Topological Perspective ACL 2025 SAE-V: Interpreting Multimodal Models for Enhanced Alignment ICML 2025 SafeLawBench: Towards Safe Alignment of Large Language Models ACL 2025 Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback AAAI 2025 Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction AAAI 2025 Aligner: Efficient Alignment by Learning to Correct NeurIPS 2024 Heterogeneous-Agent Reinforcement Learning JMLR 2024 OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research JMLR 2024 ProgressGym: Alignment with a Millennium of Moral Progress NeurIPS 2024 SafeDreamer: Safe Reinforcement Learning with World Models ICLR 2024 Safe RLHF: Safe Reinforcement Learning from Human Feedback ICLR 2024 SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset NeurIPS 2024 Augmented Proximal Policy Optimization for Safe Reinforcement Learning AAAI 2023 BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset NeurIPS 2023 Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark NeurIPS 2023 VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning NeurIPS 2023 Constrained Update Projection Approach to Safe Policy Optimization NeurIPS 2022