Boyuan Pan

According to our database1, Boyuan Pan authored at least 34 papers between 2017 and 2025.

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

Timeline

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Links

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Bibliography

2025
Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling.
CoRR, June, 2025

Mind the Quote: Enabling Quotation-Aware Dialogue in LLMs via Plug-and-Play Modules.
CoRR, May, 2025

Silencer: From Discovery to Mitigation of Self-Bias in LLM-as-Benchmark-Generator.
CoRR, May, 2025

Speculative Decoding for Multi-Sample Inference.
CoRR, March, 2025

InsBank: Evolving Instruction Subset for Ongoing Alignment.
CoRR, February, 2025

LLM-Powered Benchmark Factory: Reliable, Generic, and Efficient.
CoRR, February, 2025

CogLM: Tracking Cognitive Development of Large Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

From Sub-Ability Diagnosis to Human-Aligned Generation: Bridging the Gap for Text Length Control via MarkerGen.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Make Every Penny Count: Difficulty-Adaptive Self-Consistency for Cost-Efficient Reasoning.
CoRR, 2024

BatchEval: Towards Human-like Text Evaluation.
CoRR, 2024

Instruction Embedding: Latent Representations of Instructions Towards Task Identification.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Focused Large Language Models are Stable Many-Shot Learners.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Generative Dense Retrieval: Memory Can Be a Burden.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

BatchEval: Towards Human-like Text Evaluation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Poor-Supervised Evaluation for SuperLLM via Mutual Consistency.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2021
Self-supervised attention flow for dialogue state tracking.
Neurocomputing, 2021

TopNet: Learning from Neural Topic Model to Generate Long Stories.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Bi-Decoder Augmented Network for Neural Machine Translation.
Neurocomputing, 2020

Towards Evaluating the Robustness of Chinese BERT Classifiers.
CoRR, 2020

Adversarial Mutual Information for Text Generation.
Proceedings of the 37th International Conference on Machine Learning, 2020

T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Reinforced Dynamic Reasoning for Conversational Question Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Discourse Marker Augmented Network with Reinforcement Learning for Natural Language Inference.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Keyword-based Query Comprehending via Multiple Optimized-Demand Augmentation.
CoRR, 2017

MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension.
CoRR, 2017

Robust Asymmetric Bayesian Adaptive Matrix Factorization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017


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