Boyuan Chen
25 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Academic Marathon (5)
π
Cross-Pollinator
(13)
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Renaissance Researcher
(9)
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Interdisciplinary Bridge
π§¬
Topic Evolution
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Grand Slam
β‘
Prolific Year
(10)
ποΈ
Keyword Collector
(106)
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Century Club
(22)
β
The Questioner
Conferences
NIPS (6)
CORL (5)
ACL (3)
CVPR (3)
ICLR (3)
AAAI (2)
ICML (2)
NAACL (1)
Top co-authors
Keywords
large language model
(6)
reinforcement learning
(4)
transfer learning
(3)
reinforcement learning from human feedback
(3)
human preference
(2)
safety alignment
(2)
knowledge distillation
(2)
human feedback
(2)
self-supervised learning
(2)
few-shot learning
(1)
scene understanding
(1)
computer vision
(1)
video generation
(1)
video prediction
(1)
benchmark evaluation
(1)
sequence modeling
(1)
variational inference
(1)
video classification
(1)
preference learning
(1)
interactive learning
(1)
Papers
Guided Distillation and Risk Adaptive Evolution for Multi-Robot Navigation
AAAI 2026
SafeMT: Multi-turn Safety for Multimodal Language Models
ACL 2026
MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs
AAAI 2026
PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference
ACL 2025
Language Models Resist Alignment: Evidence From Data Compression
ACL 2025
PhysGen3D: Crafting a Miniature Interactive World from a Single Image
CVPR 2025
History-Guided Video Diffusion
ICML 2025
Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving
CORL 2024
DittoGym: Learning to Control Soft Shape-Shifting Robots
ICLR 2024
SonicSense: Object Perception from In-Hand Acoustic Vibration
CORL 2024
GUIDE: Real-Time Human-Shaped Agents
NIPS 2024
NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
NIPS 2024
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
NAACL 2024
Aligner: Efficient Alignment by Learning to Correct
NIPS 2024
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities
CVPR 2024
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
NIPS 2024
ClutterGen: A Cluttered Scene Generator for Robot Learning
CORL 2024
Policy Stitching: Learning Transferable Robot Policies
CORL 2023
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset
NIPS 2023
Self-Supervised Reinforcement Learning that Transfers using Random Features
NIPS 2023
The Boombox: Visual Reconstruction from Acoustic Vibrations
CORL 2021
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization
ICLR 2021
Beyond Categorical Label Representations for Image Classification
ICLR 2021
Unsupervised Learning of Visual 3D Keypoints for Control
ICML 2021
Oops! Predicting Unintentional Action in Video
CVPR 2020