Yifan Song

Affiliations:
  • Peking University, Beijing, China


According to our database1, Yifan Song authored at least 28 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
P-Aligner: Enabling Pre-Alignment of Language Models via Principled Instruction Synthesis.
CoRR, August, 2025

More Vulnerable than You Think: On the Stability of Tool-Integrated LLM Agents.
CoRR, June, 2025

A Comprehensive Survey on Long Context Language Modeling.
CoRR, March, 2025

MPO: Boosting LLM Agents with Meta Plan Optimization.
CoRR, March, 2025

The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Harnessing Webpage UIs for Text-Rich Visual Understanding.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Exploring Fine-Grained Human Motion Video Captioning.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Hierarchical Memory Organization for Wikipedia Generation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

ISR: Self-Refining Referring Expressions for Entity Grounding.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression.
CoRR, 2024

VLRewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models.
CoRR, 2024

VisualWebBench: How Far Have Multimodal LLMs Evolved in Web Page Understanding and Grounding?
CoRR, 2024

CoUDA: Coherence Evaluation via Unified Data Augmentation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LongEmbed: Extending Embedding Models for Long Context Retrieval.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
RestGPT: Connecting Large Language Models with Real-World Applications via RESTful APIs.
CoRR, 2023

RepCL: Exploring Effective Representation for Continual Text Classification.
CoRR, 2023

DocRED-FE: A Document-Level Fine-Grained Entity and Relation Extraction Dataset.
Proceedings of the IEEE International Conference on Acoustics, 2023

Rationale-Enhanced Language Models are Better Continual Relation Learners.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Less is More: Rethinking State-of-the-art Continual Relation Extraction Models with a Frustratingly Easy but Effective Approach.
CoRR, 2022

Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ConFiguRe: Exploring Discourse-level Chinese Figures of Speech.
Proceedings of the 29th International Conference on Computational Linguistics, 2022


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