Shaoxiong Feng

According to our database1, Shaoxiong Feng authored at least 36 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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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

Timeslot-Compactness-aware Routing Wavelength and Timeslot Assignment Strategy for Distributed AI Training in a Multi-granularity All-Optical Metro Spine-Leaf Network.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 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

Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 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

2023
Stop filtering: Multi-view attribute-enhanced dialogue learning.
Knowl. Based Syst., October, 2023

Heterogeneous-Branch Collaborative Learning for Dialogue Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
THINK: A novel conversation model for generating grammatically correct and coherent responses.
Knowl. Based Syst., 2022

A Context-Aware BERT Retrieval Framework Utilizing Abstractive Summarization.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Diversifying Neural Dialogue Generation via Negative Distillation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Hierarchical Inductive Transfer for Continual Dialogue Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Collaborative Group Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Regularizing Dialogue Generation by Imitating Implicit Scenarios.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


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