Feng Sun

Orcid: 0009-0006-0834-0562

Affiliations:
  • Microsoft Corporation, Beijing, China


According to our database1, Feng Sun authored at least 31 papers between 2017 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Beyond Static Dialogues: Benchmarking Realistic, Heterogeneous, and Evolving Long-Term Memory.
CoRR, May, 2026

DUET: Joint Exploration of User Item Profiles in Recommendation System.
CoRR, April, 2026

Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory.
CoRR, February, 2026

AdNanny: One Reasoning LLM for All Offline Ads Recommendation Tasks.
CoRR, February, 2026

2025
RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning.
CoRR, May, 2025

Towards Distributionally Balanced End-to-End Generative Retrieval.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism.
Proceedings of the ACM on Web Conference 2025, 2025

LettinGo: Explore User Profile Generation for Recommendation System.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

MAIN: Mutual Alignment Is Necessary for instruction tuning.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Token-level Proximal Policy Optimization for Query Generation.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

GeAR: Generation Augmented Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Context-DPO: Aligning Language Models for Context-Faithfulness.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
StreamAdapter: Efficient Test Time Adaptation from Contextual Streams.
CoRR, 2024

Token-level Proximal Policy Optimization for Query Generation.
CoRR, 2024

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning.
CoRR, 2024

When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning.
CoRR, 2024

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator.
CoRR, 2024

E5-V: Universal Embeddings with Multimodal Large Language Models.
CoRR, 2024

ASI++: Towards Distributionally Balanced End-to-End Generative Retrieval.
CoRR, 2024

MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning.
CoRR, 2024

Improving Domain Adaptation through Extended-Text Reading Comprehension.
CoRR, 2024

OneSparse: A Unified System for Multi-index Vector Search.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Calibrating LLM-Based Evaluator.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

ResLoRA: Identity Residual Mapping in Low-Rank Adaption.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Text Diffusion with Reinforced Conditioning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Auto Search Indexer for End-to-End Document Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Democratizing Reasoning Ability: Tailored Learning from Large Language Model.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2017
Model Ensemble for Click Prediction in Bing Search Ads.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017


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