Juntao Dai

Orcid: 0000-0002-2315-573X

According to our database1, Juntao Dai authored at least 40 papers between 2022 and 2026.

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Timeline

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Bibliography

2026
MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models.
CoRR, May, 2026

AI Alignment: A Contemporary Survey.
ACM Comput. Surv., April, 2026

Stable Reasoning, Unstable Responses: Mitigating LLM Deception via Stability Asymmetry.
CoRR, March, 2026

VISA: Value Injection via Shielded Adaptation for Personalized LLM Alignment.
CoRR, March, 2026

Align Once, Benefit Multilingually: Enforcing Multilingual Consistency for LLM Safety Alignment.
CoRR, February, 2026

A Game-Theoretica Negotiation Framework for Cross-Cultural Consensus.
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.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models.
CoRR, December, 2025

Are Your Agents Upward Deceivers?
CoRR, December, 2025

AI Deception: Risks, Dynamics, and Controls.
CoRR, November, 2025

SafeEditor: Unified MLLM for Efficient Post-hoc T2I Safety Editing.
CoRR, October, 2025

Perception, Understanding and Reasoning, A Multimodal Benchmark for Video Fake News Detection.
CoRR, October, 2025

SafeMT: Multi-turn Safety for Multimodal Language Models.
CoRR, October, 2025

The Singapore Consensus on Global AI Safety Research Priorities.
CoRR, June, 2025

A Game-Theoretic Negotiation Framework for Cross-Cultural Consensus in LLMs.
CoRR, June, 2025

SafeLawBench: Towards Safe Alignment of Large Language Models.
CoRR, June, 2025

The Mirage of Multimodality: Where Truth is Tested and Honesty Unravels.
CoRR, May, 2025

Mitigating Deceptive Alignment via Self-Monitoring.
CoRR, May, 2025

Measuring Hong Kong Massive Multi-Task Language Understanding.
CoRR, May, 2025

Safe RLHF-V: Safe Reinforcement Learning from Human Feedback in Multimodal Large Language Models.
CoRR, March, 2025

ThinkPatterns-21k: A Systematic Study on the Impact of Thinking Patterns in LLMs.
CoRR, March, 2025

A control-oriented operation mode recognizing method using fuzzy evaluation and attention LSTM networks.
Appl. Soft Comput., 2025

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning.
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.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Automate Strategy Finding with LLM in Quant Investment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research.
J. Mach. Learn. Res., 2024

Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback.
CoRR, 2024

Aligner: Achieving Efficient Alignment through Weak-to-Strong Correction.
CoRR, 2024

Aligner: Efficient Alignment by Learning to Correct.
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.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
AI Alignment: A Comprehensive Survey.
CoRR, 2023

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark.
CoRR, 2023

Baichuan 2: Open Large-scale Language Models.
CoRR, 2023

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset.
CoRR, 2023

Augmented Proximal Policy Optimization for Safe Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning.
CoRR, 2022

Constrained Update Projection Approach to Safe Policy Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022


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