Bowen Jin

Orcid: 0000-0003-1295-2829

According to our database1, Bowen Jin authored at least 57 papers between 2018 and 2025.

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Bibliography

2025
Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning.
CoRR, June, 2025

Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-Answering.
CoRR, May, 2025

Hybrid Latent Reasoning via Reinforcement Learning.
CoRR, May, 2025

An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents.
CoRR, May, 2025

LLM-Based Compact Reranking with Document Features for Scientific Retrieval.
CoRR, May, 2025

mCLM: A Function-Infused and Synthesis-Friendly Modular Chemical Language Model.
CoRR, May, 2025

Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents.
CoRR, May, 2025

Benchmarking Retrieval-Augmented Generation for Chemistry.
CoRR, May, 2025

RM-R1: Reward Modeling as Reasoning.
CoRR, May, 2025

OTC: Optimal Tool Calls via Reinforcement Learning.
CoRR, April, 2025

Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.
CoRR, March, 2025

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective.
CoRR, February, 2025

Deep Learning and Foundation Models for Weather Prediction: A Survey.
CoRR, January, 2025

Chain-of-Factors Paper-Reviewer Matching.
Proceedings of the ACM on Web Conference 2025, 2025

Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Long Context vs. RAG: Strategies for Processing Long Documents in LLMs.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Large Language Models on Graphs: A Comprehensive Survey.
IEEE Trans. Knowl. Data Eng., December, 2024

CoDiCast: Conditional Diffusion Model for Weather Prediction with Uncertainty Quantification.
CoRR, 2024

Investigating Instruction Tuning Large Language Models on Graphs.
CoRR, 2024

Parameter-Efficient Tuning Large Language Models for Graph Representation Learning.
CoRR, 2024

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.
CoRR, 2024

Scalable and Effective Generative Information Retrieval.
Proceedings of the ACM on Web Conference 2024, 2024

Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy.
Proceedings of the ACM on Web Conference 2024, 2024

Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Geospatial Topological Relation Extraction from Text with Knowledge Augmentation.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

InstructG2I: Synthesizing Images from Multimodal Attributed Graphs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Language Models as Semantic Indexers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
The MAPLE Benchmark for Graph Mining.
Dataset, February, 2023

The MAPLE Benchmark for Graph Mining.
Dataset, February, 2023

The MAPLE Benchmark for Scientific Literature Tagging.
Dataset, February, 2023

"Why Should I Review This Paper?" Unifying Semantic, Topic, and Citation Factors for Paper-Reviewer Matching.
CoRR, 2023

Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder.
CoRR, 2023

The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study.
Proceedings of the ACM Web Conference 2023, 2023

Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Geospatial Knowledge Hypercube.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Patton: Language Model Pretraining on Text-Rich Networks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Text Augmented Open Knowledge Graph Completion via Pre-Trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
The use of intelligent remote monitoring system in ship energy efficiency management based on internet of things.
Int. J. Grid Util. Comput., 2022

Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks.
CoRR, 2022

2021
Spatial Variability of Relative Sea-Level Rise in Tianjin, China: Insight From InSAR, GPS, and Tide-Gauge Observations.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Analysis and prediction of ship energy efficiency using 6G big data internet of things and artificial intelligence technology.
Int. J. Syst. Assur. Eng. Manag., 2021

Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks.
CoRR, 2021

Research on Tourism Image Perception of Fuzhou Jinjishan Park from the Perspective of Big Data.
Proceedings of the ICISCAE 2021: 4th International Conference on Information Systems and Computer Aided Education, Dalian, China, September 24, 2021

2020
Multi-behavior Recommendation with Graph Convolutional Networks.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019
3D computational models explain muscle activation patterns and energetic functions of internal structures in fish swimming.
PLoS Comput. Biol., 2019

2018
HPEPDOCK: a web server for blind peptide-protein docking based on a hierarchical algorithm.
Nucleic Acids Res., 2018

Hierarchical Flexible Peptide Docking by Conformer Generation and Ensemble Docking of Peptides.
J. Chem. Inf. Model., 2018


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