Yiwei Li

Orcid: 0000-0003-2870-7297

Affiliations:
  • Beijing Institute of Technology, School of Computer Science, Beijing, China


According to our database1, Yiwei Li authored at least 33 papers between 2020 and 2025.

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

Timeline

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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

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

Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Fewer Hallucinations in Knowledge-Grounded Dialogue Generation via Augmentative and Contrastive Knowledge-Dialogue.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

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

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

2020
A Multistage Ranking Strategy for Personalized Hotel Recommendation with Human Mobility Data.
Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 2020


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