Jiaming Ji

Orcid: 0000-0002-3769-2077

According to our database¹, Jiaming Ji authored at least 73 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Links

On csauthors.net:

Bibliography

2026

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models.

[BibT_eX]

[DOI]

CoRR, May, 2026

AI Alignment: A Contemporary Survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., April, 2026

RedVLA: Physical Red Teaming for Vision-Language-Action Models.

[BibT_eX]

[DOI]

CoRR, April, 2026

ShuttleEnv: An Interactive Data-Driven RL Environment for Badminton Strategy Modeling.

[BibT_eX]

[DOI]

CoRR, March, 2026

VISA: Value Injection via Shielded Adaptation for Personalized LLM Alignment.

[BibT_eX]

[DOI]

CoRR, March, 2026

Enhance the Safety in Reinforcement Learning by ADRC Lagrangian Methods.

[BibT_eX]

[DOI]

CoRR, January, 2026

A Game-Theoretica Negotiation Framework for Cross-Cultural Consensus.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models.

[BibT_eX]

[DOI]

CoRR, December, 2025

Are Your Agents Upward Deceivers?

[BibT_eX]

[DOI]

CoRR, December, 2025

Debate with Images: Detecting Deceptive Behaviors in Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, December, 2025

Arcadia: Toward a Full-Lifecycle Framework for Embodied Lifelong Learning.

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[DOI]

CoRR, December, 2025

AI Deception: Risks, Dynamics, and Controls.

[BibT_eX]

[DOI]

CoRR, November, 2025

SafeMT: Multi-turn Safety for Multimodal Language Models.

[BibT_eX]

[DOI]

CoRR, October, 2025

On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations.

[BibT_eX]

[DOI]

CoRR, October, 2025

ReDMan: reliable dexterous manipulation with safe reinforcement learning.

[BibT_eX]

[DOI]

Mach. Learn., August, 2025

Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications.

[BibT_eX]

[DOI]

CoRR, August, 2025

A Game-Theoretic Negotiation Framework for Cross-Cultural Consensus in LLMs.

[BibT_eX]

[DOI]

CoRR, June, 2025

SafeLawBench: Towards Safe Alignment of Large Language Models.

[BibT_eX]

[DOI]

CoRR, June, 2025

The Mirage of Multimodality: Where Truth is Tested and Honesty Unravels.

[BibT_eX]

[DOI]

CoRR, May, 2025

Mitigating Deceptive Alignment via Self-Monitoring.

[BibT_eX]

[DOI]

CoRR, May, 2025

J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge.

[BibT_eX]

[DOI]

CoRR, May, 2025

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

[BibT_eX]

[DOI]

CoRR, April, 2025

Benchmarking Multi-National Value Alignment for Large Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2025

Safe RLHF-V: Safe Reinforcement Learning from Human Feedback in Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, March, 2025

ThinkPatterns-21k: A Systematic Study on the Impact of Thinking Patterns in LLMs.

[BibT_eX]

[DOI]

CoRR, March, 2025

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Safe Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, March, 2025

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

[BibT_eX]

[DOI]

CoRR, January, 2025

Generative RLHF-V: Learning Principles from Multi-modal Human Preference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SAE-V: Interpreting Multimodal Models for Enhanced Alignment.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Survey of LLM-based Agents in Medicine: How far are we from Baymax?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

LegalReasoner: Step-wised Verification-Correction for Legal Judgment Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Reward Generalization in RLHF: A Topological Perspective.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Benchmarking Multi-National Value Alignment for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Language Models Resist Alignment: Evidence From Data Compression.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

SafeLawBench: Towards Safe Alignment of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Heterogeneous-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2024

Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback.

[BibT_eX]

[DOI]

CoRR, 2024

Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback.

[BibT_eX]

[DOI]

CoRR, 2024

PKU-SafeRLHF: A Safety Alignment Preference Dataset for Llama Family Models.

[BibT_eX]

[DOI]

CoRR, 2024

SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset.

[BibT_eX]

[DOI]

CoRR, 2024

Language Models Resist Alignment.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking Information Structures in RLHF: Reward Generalization from a Graph Theory Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Aligner: Achieving Efficient Alignment through Weak-to-Strong Correction.

[BibT_eX]

[DOI]

CoRR, 2024

ProgressGym: Alignment with a Millennium of Moral Progress.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Aligner: Efficient Alignment by Learning to Correct.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-task Learning LSTM-based Traffic Prediction in Data Center Networks.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Machine Learning and Soft Computing, 2024

Safe RLHF: Safe Reinforcement Learning from Human Feedback.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SafeDreamer: Safe Reinforcement Learning with World Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Object Detection of Flexible Objects with Arbitrary Orientation Based on Rotation-Adaptive YOLOv5.

[BibT_eX]

[DOI]

Sensors, 2023

AI Alignment: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark.

[BibT_eX]

[DOI]

CoRR, 2023

Baichuan 2: Open Large-scale Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Safe DreamerV3: Safe Reinforcement Learning with World Models.

[BibT_eX]

[DOI]

CoRR, 2023

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset.

[BibT_eX]

[DOI]

CoRR, 2023

Heterogeneous-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Augmented Proximal Policy Optimization for Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Constrained Update Projection Approach to Safe Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 2021

Jiaming Ji

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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