Bin Wu

Orcid: 0000-0002-8677-2321

Affiliations:
  • University College London, UK
  • Sun Yat-sen University, China (former)


According to our database1, Bin Wu authored at least 14 papers between 2022 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Entropy-Based Decoding for Retrieval-Augmented Large Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Rethinking the Potential of Multimodality in Collaborative Problem Solving Diagnosis with Large Language Models.
Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Boosting LLM's Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

A Joint Optimization Framework for Enhancing Efficiency of Tool Utilization in LLM Agents.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
SciSafeEval: A Comprehensive Benchmark for Safety Alignment of Large Language Models in Scientific Tasks.
CoRR, 2024

Preference Distillation for Personalized Generative Recommendation.
CoRR, 2024

Understanding the Role of User Profile in the Personalization of Large Language Models.
CoRR, 2024

Instruction Tuning With Loss Over Instructions.
CoRR, 2024

Instruction Tuning With Loss Over Instructions.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Dynamic Bayesian Contrastive Predictive Coding Model for Personalized Product Search.
ACM Trans. Web, November, 2023

Graph Sampling-based Meta-Learning for Molecular Property Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Adaptive Compositional Continual Meta-Learning.
Proceedings of the International Conference on Machine Learning, 2023

Active Finetuning Protein Language Model: A Budget-Friendly Method for Directed Evolution.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Meta-Learning Helps Personalized Product Search.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022


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