Guochao Jiang

Orcid: 0009-0002-3415-4473

According to our database1, Guochao Jiang authored at least 19 papers between 2024 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
Beyond Stochastic Exploration: What Makes Training Data Valuable for Agentic Search.
CoRR, April, 2026

FAQ: Mitigating Quantization Error via Regenerating Calibration Data with Family-Aware Quantization.
CoRR, January, 2026

2025
VCRL: Variance-based Curriculum Reinforcement Learning for Large Language Models.
CoRR, September, 2025

PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning.
CoRR, August, 2025

FlashThink: An Early Exit Method For Efficient Reasoning.
CoRR, May, 2025

RLAP: A Reinforcement Learning Enhanced Adaptive Planning Framework for Multi-step NLP Task Solving.
CoRR, May, 2025

FlowKV: A Disaggregated Inference Framework with Low-Latency KV Cache Transfer and Load-Aware Scheduling.
CoRR, April, 2025

RASD: Retrieval-Augmented Speculative Decoding.
CoRR, March, 2025

DEval: Enhancing Large Language Models' Decoding with Evaluation for Better Generation.
Proceedings of the International Joint Conference on Neural Networks, 2025

AirRAG: Autonomous Strategic Planning and Reasoning Steer Retrieval Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategy.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

RASD: Retrieval-Augmented Speculative Decoding.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction.
CoRR, 2024

Tokenization Matters! Degrading Large Language Models through Challenging Their Tokenization.
CoRR, 2024

SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation.
CoRR, 2024

P-ICL: Point In-Context Learning for Named Entity Recognition with Large Language Models.
CoRR, 2024

Reason from Fallacy: Enhancing Large Language Models' Logical Reasoning through Logical Fallacy Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

ToNER: Type-oriented Named Entity Recognition with Generative Language Model.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

AgentRE: An Agent-Based Framework for Navigating Complex Information Landscapes in Relation Extraction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024


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