Bryan Hooi
- Papers
- 36
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Authored papers
36MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome
arXiv 2026
Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning
arXiv 2026
Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
arXiv 2026
Learning to Learn-at-Test-Time: Language Agents with Learnable Adaptation Policies
arXiv 2026
Safety in Large Reasoning Models: A Survey
arXiv 2025
MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research
arXiv 2025
FlowReasoner: Reinforcing Query-Level Meta-Agents
arXiv 2025
ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark
arXiv 2025
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models
arXiv 2025
GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning
arXiv 2025
Automating Steering for Safe Multimodal Large Language Models
arXiv 2025
Efficient Inference for Large Reasoning Models: A Survey
arXiv 2025
GuardReasoner: Towards Reasoning-based LLM Safeguards
arXiv 2025
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
arXiv 2025
JudgeLRM: Large Reasoning Models as a Judge
arXiv 2025
Navigating the Helpfulness-Truthfulness Trade-Off with Uncertainty-Aware Instruction Fine-Tuning
arXiv 2025
Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
CVPR 2025 1
Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
arXiv 2025
How Does Response Length Affect Long-Form Factuality
arXiv 2025
Do "New Snow Tablets" Contain Snow? Large Language Models Over-Rely on Names to Identify Ingredients of Chinese Drugs
arXiv 2025
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
arXiv 2024
FlipAttack: Jailbreak LLMs via Flipping
arXiv 2024
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
arXiv 2024
KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
arXiv 2024
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding
arXiv 2024
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
arXiv 2023
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
arXiv 2023
Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
arXiv 2023
Efficient Heterogeneous Graph Learning via Random Projection
arXiv 2023
Multimodal Graph Learning for Generative Tasks
arXiv 2023
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks
arXiv 2023
A Generalization of ViT/MLP-Mixer to Graphs
arXiv 2022
Expanding Small-Scale Datasets with Guided Imagination
expanding-small-scale-datasets-with-guided
Deep Long-Tailed Learning: A Survey
arXiv 2021
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition
arXiv 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
NeurIPS 2021 12
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