Chak Tou Leong

Orcid: 0000-0002-6124-1890

According to our database1, Chak Tou Leong authored at least 40 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Probing Cultural Awareness in LLMs: A Case Study of Cross-Culture Aesthetic Stylistics.
CoRR, May, 2026

Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied Agents.
CoRR, April, 2026

Finding RELIEF: Shaping Reasoning Behavior without Reasoning Supervision via Belief Engineering.
CoRR, January, 2026

KNN-SSD: Enabling Dynamic Self-Speculative Decoding via Nearest Neighbor Layer Set Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive Prompting.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Evaluating Parameter Efficient Methods for RLVR.
CoRR, December, 2025

Protein as a Second Language for LLMs.
CoRR, October, 2025

Merlin's Whisper: Enabling Efficient Reasoning in LLMs via Black-box Adversarial Prompting.
CoRR, October, 2025

Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning?
CoRR, October, 2025

Probing the Difficulty Perception Mechanism of Large Language Models.
CoRR, October, 2025

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution.
CoRR, May, 2025

Scaling over Scaling: Exploring Test-Time Scaling Pareto in Large Reasoning Models.
CoRR, May, 2025

Video-Bench: Human-Aligned Video Generation Benchmark.
CoRR, April, 2025

Constrain Alignment with Sparse Autoencoders.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

TokenSkip: Controllable Chain-of-Thought Compression in LLMs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Video-Bench: Human-Aligned Video Generation Benchmark.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Symbolic Representation for Any-to-Any Generative Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Subtle Errors in Reasoning: Preference Learning via Error-injected Self-editing.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

STeCa: Step-level Trajectory Calibration for LLM Agent Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Why Safeguarded Ships Run Aground? Aligned Large Language Models' Safety Mechanisms Tend to Be Anchored in The Template Region.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Direct Preference Optimization Using Sparse Feature-Level Constraints.
CoRR, 2024

Subtle Errors Matter: Preference Learning via Error-injected Self-editing.
CoRR, 2024

Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning.
CoRR, 2024

E2CL: Exploration-based Error Correction Learning for Embodied Agents.
CoRR, 2024

Evolving to be Your Soulmate: Personalized Dialogue Agents with Dynamically Adapted Personas.
CoRR, 2024

No Two Devils Alike: Unveiling Distinct Mechanisms of Fine-tuning Attacks.
CoRR, 2024

Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback.
CoRR, 2024

SCREEN: A Benchmark for Situated Conversational Recommendation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

E²CL: Exploration-based Error Correction Learning for Embodied Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Muffin: Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Geo-Tile2Vec: A Multi-Modal and Multi-Stage Embedding Framework for Urban Analytics.
ACM Trans. Spatial Algorithms Syst., June, 2023

Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Self-Detoxifying Language Models via Toxification Reversal.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Task Adaptive Network for Image Restoration with Combined Degradation Factors.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

2021
Unified Feature Fusion Network with Path Router for Multi-task Image Restoration.
Proceedings of the 21st International Conference on Communication Technology, 2021


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