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We stand with Ukraine

Xiangjun Fan

Orcid: 0009-0009-6689-6560

According to our database¹, Xiangjun Fan authored at least 31 papers between 2020 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

Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning.

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Klara Nahrstedt

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CoRR, May, 2026

TTE-Flash: Accelerating Reasoning-based Multimodal Representations via Think-Then-Embed Tokens.

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Chaitanya Ahuja

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Shlok Kumar Mishra

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CoRR, May, 2026

Agentic Recommender System with Hierarchical Belief-State Memory.

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CoRR, May, 2026

Synthetic Sandbox for Training Machine Learning Engineering Agents.

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CoRR, April, 2026

GISTBench: Evaluating LLM User Understanding via Evidence-Based Interest Verification.

[DOI]

Iordanis Fostiropoulos

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Muhammad Rafay Azhar

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Abdalaziz Sawwan

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CoRR, March, 2026

LLM-Driven Reasoning for Constraint-Aware Feature Selection in Industrial Systems.

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Spilios Evmorfos

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Gökalp Demirci

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CoRR, March, 2026

TARo: Token-level Adaptive Routing for LLM Test-time Alignment.

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CoRR, March, 2026

ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning.

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CoRR, March, 2026

DREAM: Where Visual Understanding Meets Text-to-Image Generation.

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Sai Vidyaranya Nuthalapati

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Satya Narayan Shukla

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Shlok Kumar Mishra

CoRR, March, 2026

Reason to Contrast: A Cascaded Multimodal Retrieval Framework.

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Shlok Kumar Mishra

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CoRR, February, 2026

Xray-Visual Models: Scaling Vision models on Industry Scale Data.

[DOI]

CoRR, February, 2026

Rethinking ANN-based Retrieval: Multifaceted Learnable Index for Large-scale Recommendation System.

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CoRR, February, 2026

Principled Synthetic Data Enables the First Scaling Laws for LLMs in Recommendation.

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CoRR, February, 2026

EBPO: Empirical Bayes Shrinkage for Stabilizing Group-Relative Policy Optimization.

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CoRR, February, 2026

Guiding Generative Recommender Systems with Structured Human Priors via Multi-head Decoding.

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Proceedings of the ACM Web Conference 2026, 2026

RecoWorld: Building Simulated Environments for Agentic Recommender Systems.

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Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

RankID: A Unified Semantic ID Learned through Multi-Stage Semantic Alignment of Multimodal Features.

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Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding.

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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding.

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CoRR, October, 2025

Think Then Embed: Generative Context Improves Multimodal Embedding.

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Satya Narayan Shukla

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Abhijeet Awasthi

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Chaitanya Ahuja

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Shlok Kumar Mishra

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CoRR, October, 2025

Exploring System 1 and 2 communication for latent reasoning in LLMs.

[DOI]

Julian Coda-Forno

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Hsiao-Ping Tseng

CoRR, October, 2025

GEM: Empowering LLM for both Embedding Generation and Language Understanding.

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Sai Vidyaranya Nuthalapati

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CoRR, June, 2025

S'MoRE: Structural Mixture of Residual Experts for LLM Fine-tuning.

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CoRR, April, 2025

Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment.

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CoRR, January, 2025

S'MoRE: Structural Mixture of Residual Experts for Parameter-Efficient LLM Fine-tuning.

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Quantifying Generalization Complexity for Large Language Models.

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Himabindu Lakkaraju

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Efficient Sequential Recommendation for Long Term User Interest Via Personalization.

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Christopher E. Lambert

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Proceedings of the IEEE International Conference on Data Mining, 2025

CAFE: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2023

HallE-Switch: Rethinking and Controlling Object Existence Hallucinations in Large Vision Language Models for Detailed Caption.

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CoRR, 2023

2021

Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations.

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations.

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CoRR, 2020

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