---
title: "Who cites Dacheng Li — page 10 — 3,639 papers of our library"
description: "3,639 papers of the Elamur Research library cite the works of Dacheng Li, found in their bibliographies · page 10 of 10 · 901–919; the most…"
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---
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# Who cites Dacheng Li

3,875 citations of their works from 3,639 papers of our library (of the 149,439 whose bibliographies we read) · 919 with a page here, the most cited first · page 10 of 10 · 901–919 · [← Dacheng Li](https://md.research.elamur.ai/free/en/authors/dacheng-li/)

[← prev](https://md.research.elamur.ai/free/en/authors/dacheng-li/cited-by/page/9/) [1](https://md.research.elamur.ai/free/en/authors/dacheng-li/cited-by/) … [9](https://md.research.elamur.ai/free/en/authors/dacheng-li/cited-by/page/9/) **10**

901. **[Training-Free Adaptive Speculative Decoding via Linguistic Priors](https://md.research.elamur.ai/free/en/papers/wang-2026-training-free-adaptive-speculative-decoding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingyi Wang, Jiaqi Huang, Zunnan Xu, et al.*2026*
902. **[TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment](https://md.research.elamur.ai/free/en/papers/tan-2026-triplay-rl-tri-role-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhewen Tan, Wenhan Yu, Jianfeng Si, et al.*2026*
903. **[Triviality Corrected Endogenous Reward](https://md.research.elamur.ai/free/en/papers/wang-2026-triviality-corrected-endogenous-reward/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinda Wang, Zhengxu Hou, Yangshijie Zhang, et al.*2026*
904. **[Uncertainty-Aware Test-Time Search for Optimization Problem Solving](https://md.research.elamur.ai/free/en/papers/yu-2026-uncertainty-aware-test-time-search/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Linlin Yu, Xujiang Zhao, Dong Li, et al.*2026*
905. **[VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation](https://md.research.elamur.ai/free/en/papers/park-2026-vauq-vision-aware-uncertainty-quantification/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Seongheon Park, Changdae Oh, Hyeong Kyu Choi, et al.*2026*
906. **[Verifying the Subjective: Structured Multilingual Rewards for Low-Resource Alignment](https://md.research.elamur.ai/free/en/papers/sha-2026-verifying-subjective-structured-multilingual-rewards/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiu Sha, Mengxiao Zhu*2026*
907. **[VIGiA: Instructional Video Guidance via Dialogue Reasoning and Retrieval](https://md.research.elamur.ai/free/en/papers/silva-2026-vigia-instructional-video-guidance-dialogue/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Diogo Glória-Silva, David Semedo, Joao Magalhaes*2026*
908. **[ViLegalLM: Language Models for Vietnamese Legal Text](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vilegallm-language-models-vietnamese-legal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Truong-Phuc Nguyen, Quy-Nhan Nguyen, Minh-Tien Nguyen*2026*
909. **[WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metrics](https://md.research.elamur.ai/free/en/papers/liu-2026-webcoderbench-benchmarking-web-application-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenxu Liu, Yingjie Fu, Wei Yang, et al.*2026*
910. **[What Tokens Truly Matter? The Logit Conflation Problem in LLM Sampling](https://md.research.elamur.ai/free/en/papers/zhao-2026-what-tokens-truly-matter-logit/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pinlong Zhao, Huijun Tang, Pengfei Jiao, et al.*2026*
911. **[What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning](https://md.research.elamur.ai/free/en/papers/weng-2026-what-s-missing-vision-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zhaotian Weng, Haoxuan Li, Xin Eric Wang, et al.*2026*
912. **[When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents](https://md.research.elamur.ai/free/en/papers/mouilleron-2026-when-tables-go-crazy-evaluating/) [Financial Narrative Processing Workshop](https://md.research.elamur.ai/free/en/venues/fnp/)**Virginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.*2026*
913. **[When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content](https://md.research.elamur.ai/free/en/papers/nishimwe-2026-when-gold-standard-isn-t/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Lydia Nishimwe, Benoît Sagot, Rachel Bawden*2026*
914. **[Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM Judges](https://md.research.elamur.ai/free/en/papers/welivita-2026-who-generates-more-empathetic-responses/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Anuradha Welivita, Fawzia Zeitoun, Pearl Pu*2026*
915. **[You Only Need One Single Token to Refine Safety Alignment](https://md.research.elamur.ai/free/en/papers/yu-2026-you-only-need-one-single/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenqian Yu, Shuo Chen, Zhijiang Li, et al.*2026*
916. **[Generating Questions Under Discussion with Reinforcement Learning using Ranking and Scoring for Reward and Evaluation](https://md.research.elamur.ai/free/en/papers/han-2025-generating-questions-under-discussion-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kelvin Han, Claire Gardent*2025*
917. **[Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)](https://md.research.elamur.ai/free/en/papers/gao-2025-key-technologies-large/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)*2025*
918. **[TounsiBench: Benchmarking Large Language Models for Tunisian Arabic](https://md.research.elamur.ai/free/en/papers/hassine-2025-tounsibench-benchmarking-large-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Souha Ben Hassine, Asma Arrak, Marouene Addhoum, et al.*2025*
919. [**360Zhinao Technical Report arXiv:2405.13386***2024*](https://md.research.elamur.ai/free/en/papers/360zhinao-team-2024-360zhinao-technical-report/)

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2,720 more citing papers of our library have no page here yet.

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