Yang Song

Orcid: 0000-0001-8252-9626

Affiliations:
  • BOSS Zhipin NLP Center, Beijing, China


According to our database1, Yang Song authored at least 61 papers between 2010 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
Quality-constrained Entropy Maximization Policy Optimization for LLM Diversity.
CoRR, February, 2026

Measuring and Mitigating Post-hoc Rationalization in Reverse Chain-of-Thought Generation.
CoRR, February, 2026

Elo-Evolve: A Co-evolutionary Framework for Language Model Alignment.
CoRR, February, 2026

Nanbeige4.1-3B: A Small General Model that Reasons, Aligns, and Acts.
CoRR, February, 2026

PACE: Prefix-Protected and Difficulty-Aware Compression for Efficient Reasoning.
CoRR, February, 2026

SWE-World: Building Software Engineering Agents in Docker-Free Environments.
CoRR, February, 2026

SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training.
CoRR, February, 2026

Exploiting large language model with reinforcement learning for generative job recommendations.
Frontiers Comput. Sci., January, 2026

2025
Nanbeige4-3B Technical Report: Exploring the Frontier of Small Language Models.
CoRR, December, 2025

CoSineVerifier: Tool-Augmented Answer Verification for Computation-Oriented Scientific Questions.
CoRR, December, 2025

ToolMind Technical Report: A Large-Scale, Reasoning-Enhanced Tool-Use Dataset.
CoRR, November, 2025

RSPO: Risk-Seeking Policy Optimization for Pass@k and Max@k Metrics in Large Language Models.
CoRR, August, 2025

Quasi-Metric Learning for Bilateral Person-Job Fit.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

GVPO: Group Variance Policy Optimization for Large Language Model Post-Training.
CoRR, April, 2025

RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MockLLM: A Multi-Agent Behavior Collaboration Framework for Online Job Seeking and Recruiting.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Lock on Target! Precision Unlearning via Directional Control.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Multi-Turn Interactions for Text-to-SQL with Large Language Models.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment.
IEEE Trans. Knowl. Data Eng., November, 2024

BoRA: Bi-dimensional Weight-Decomposed Low-Rank Adaptation.
CoRR, 2024

Interactive-T2S: Multi-Turn Interactions for Text-to-SQL with Large Language Models.
CoRR, 2024

Facilitating Multi-Role and Multi-Behavior Collaboration of Large Language Models for Online Job Seeking and Recruiting.
CoRR, 2024

Mixture of In-Context Experts Enhance LLMs' Long Context Awareness.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Early Joint Learning of Emotion Information Makes MultiModal Model Understand You Better.
Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing, 2024

Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Your Career Path Matters in Person-Job Fit.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Sequential ensemble learning for next item recommendation.
Knowl. Based Syst., October, 2023

Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.
CoRR, 2023

Enhancing Job Recommendation through LLM-based Generative Adversarial Networks.
CoRR, 2023

EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Reciprocal Sequential Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Sequential Hypergraph Convolution Network for Next Item Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

2022
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation.
CoRR, 2022

Modeling Two-Way Selection Preference for Person-Job Fit.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Leveraging Search History for Improving Person-Job Fit.
Proceedings of the Database Systems for Advanced Applications, 2022

Market-Aware Dynamic Person-Job Fit with Hierarchical Reinforcement Learning.
Proceedings of the Database Systems for Advanced Applications, 2022

Personalized Query Suggestion with Searching Dynamic Flow for Online Recruitment.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Beyond Matching: Modeling Two-Sided Multi-Behavioral Sequences for Dynamic Person-Job Fit.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Generalized Collaborative Personalized Ranking for Recommendation.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
User preference modeling based on meta paths and diversity regularization in heterogeneous information networks.
Knowl. Based Syst., 2019

Interview Choice Reveals Your Preference on the Market: To Improve Job-Resume Matching through Profiling Memories.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Representation Learning with Ordered Relation Paths for Knowledge Graph Completion.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Towards Effective and Interpretable Person-Job Fitting.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2013
Efficient Collective Entity Linking with Stacking.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012
Identifying Event-related Bursts via Social Media Activities.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Joint Learning for Coreference Resolution with Markov Logic.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Link Type Based Pre-Cluster Pair Model for Coreference Resolution.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011

Topical Keyphrase Extraction from Twitter.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
ICL KBP Approaches to Knowledge Base Population at TAC2010.
Proceedings of the Third Text Analysis Conference, 2010

A Pipeline Approach to Chinese Personal Name Disambiguation.
Proceedings of the CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2010

Applying Spectral Clustering for Chinese Word Sense Induction.
Proceedings of the CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2010


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