---
title: "Xipeng Qiu — all works — Elamur Research"
description: "All 68 works of Xipeng Qiu in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/xipeng-qiu/works/"
---
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# Xipeng Qiu — all works

68 works · [← Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/)

1. [**Pre-trained Models for Natural Language Processing: A Survey arXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897**Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.*2020 · 1,759 citations*](https://md.research.elamur.ai/free/en/papers/qiu-2020-pre-trained-models-natural-language/)
2. **[BERT-ATTACK: Adversarial Attack Against BERT Using BERT](https://md.research.elamur.ai/free/en/papers/li-2020-bert-attack-adversarial-attack-against/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Linyang Li, Ruotian Ma, Qipeng Guo, et al.*2020 · 843 citations*
3. **[Adversarial Multi-task Learning for Text Classification](https://md.research.elamur.ai/free/en/papers/liu-2017-adversarial-multi-task-learning-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengfei Liu, Xipeng Qiu, Xuanjing Huang*2017 · 729 citations*
4. **[Extractive Summarization as Text Matching](https://md.research.elamur.ai/free/en/papers/zhong-2020-extractive-summarization-as-text-matching/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ming Zhong, Pengfei Liu, Yiran Chen, et al.*2020 · 570 citations*
5. **[FLAT: Chinese NER Using Flat-Lattice Transformer](https://md.research.elamur.ai/free/en/papers/li-2020-flat-chinese-ner-flat-lattice/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaonan Li, Hang Yan, Xipeng Qiu, et al.*2020 · 505 citations*
6. [**How to Fine-Tune BERT for Text Classification? arXiv:1905.05583**Chi Sun, Xipeng Qiu, Yige Xu, et al.*2019 · 407 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-fine-tune-bert-text-classification/)
7. **[QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization](https://md.research.elamur.ai/free/en/papers/zhong-2021-qmsum-new-benchmark-query-based/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ming Zhong, Da Yin, Tao Yu, et al.*2021 · 404 citations*
8. **[A Unified Generative Framework for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-aspect-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hang Yan, Junqi Dai, Tuo Ji, et al.*2021 · 396 citations*
9. **[A Unified Generative Framework for Various NER Subtasks](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-various-ner/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hang Yan, Tao Gui, Junqi Dai, et al.*2021 · 394 citations*
10. **[Heterogeneous Graph Neural Networks for Extractive Document Summarization](https://md.research.elamur.ai/free/en/papers/wang-2020-heterogeneous-graph-neural-networks-extractive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Danqing Wang, Pengfei Liu, Yining Zheng, et al.*2020 · 370 citations*
11. **[GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge](https://md.research.elamur.ai/free/en/papers/huang-2019-glossbert-bert-word-sense-disambiguation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Luyao Huang, Chi Sun, Xipeng Qiu, et al.*2019 · 366 citations*
12. **[Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence](https://md.research.elamur.ai/free/en/papers/sun-2019-utilizing-bert-aspect-based-sentiment/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chi Sun, Luyao Huang, Xipeng Qiu*2019 · 359 citations*
13. **[SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities](https://md.research.elamur.ai/free/en/papers/zhang-2023-speechgpt-empowering-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dong Zhang, Shimin Li, Xin Zhang, et al.*2023 · 347 citations*
14. **[Long Short-Term Memory Neural Networks for Chinese Word Segmentation](https://md.research.elamur.ai/free/en/papers/chen-2015-long-short-term-memory-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xinchi Chen, Xipeng Qiu, Chenxi Zhu, et al.*2015 · 336 citations*
15. **[Character-LLM: A Trainable Agent for Role-Playing](https://md.research.elamur.ai/free/en/papers/shao-2023-character-llm-trainable-agent-role/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yunfan Shao, Linyang Li, Junqi Dai, et al.*2023 · 303 citations*
16. **[Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation](https://md.research.elamur.ai/free/en/papers/dai-2019-style-transformer-unpaired-text-style/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ning Dai, Jianze Liang, Xipeng Qiu, et al.*2019 · 301 citations*
17. **[Reinforced Mnemonic Reader for Machine Reading Comprehension](https://md.research.elamur.ai/free/en/papers/hu-2017-reinforced-mnemonic-reader-machine-reading/) [International Joint Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/international-joint-conference-on-artificial-intelligence/)**Minghao Hu, Yuxing Peng, Zhen Huang, et al.*2017 · 273 citations*
18. **[CoLAKE: Contextualized Language and Knowledge Embedding](https://md.research.elamur.ai/free/en/papers/sun-2020-colake-contextualized-language-knowledge-embedding/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Tianxiang Sun, Yunfan Shao, Xipeng Qiu, et al.*2020 · 239 citations*
19. **[Searching for Effective Neural Extractive Summarization: What Works and What's Next](https://md.research.elamur.ai/free/en/papers/zhong-2019-searching-effective-neural-extractive-summarization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ming Zhong, Pengfei Liu, Danqing Wang, et al.*2019 · 225 citations*
20. **[Adversarial Multi-Criteria Learning for Chinese Word Segmentation ↗](https://aclanthology.org/P17-1110/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xinchi Chen et al.*2017 · 223 citations*
21. **[Do Large Language Models Know What They Don't Know? ↗](https://aclanthology.org/2023.findings-acl.551/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Zhangyue Yin et al.*2023 · 222 citations*
22. **[Star-Transformer ↗](https://aclanthology.org/N19-1133/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Qipeng Guo et al.*2019 · 206 citations*
23. **[Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification ↗](https://aclanthology.org/D16-1172/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jiacheng Xu et al.*2016 · 206 citations*
24. **[Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents ↗](https://aclanthology.org/D15-1280/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Pengfei Liu et al.*2015 · 197 citations*
25. **[Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa ↗](https://aclanthology.org/2021.naacl-main.146/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Junqi Dai et al.*2021 · 196 citations*
26. **[CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation](https://md.research.elamur.ai/free/en/papers/shao-2021-cpt-pre-trained-unbalanced-transformer/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Yunfan Shao, Zhichao Geng, Yitao Liu, et al.*2021 · 180 citations*
27. **[Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information](https://md.research.elamur.ai/free/en/papers/lin-2020-pre-training-multilingual-neural-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zehui Lin, Xiao Pan, Mingxuan Wang, et al.*2020 · 178 citations*
28. [**L-Eval: Instituting Standardized Evaluation for Long Context Language Models arXiv:2307.11088**Chenxin An, Shansan Gong, Ming Zhong, et al.*2023 · 161 citations*](https://md.research.elamur.ai/free/en/papers/an-2023-l-eval-instituting-standardized-evaluation/)
29. **[Unified Demonstration Retriever for In-Context Learning](https://md.research.elamur.ai/free/en/papers/li-2023-unified-demonstration-retriever-context-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaonan Li, Kai Lv, Hang Yan, et al.*2023 · 146 citations*
30. **[Full Parameter Fine-tuning for Large Language Models with Limited Resources](https://md.research.elamur.ai/free/en/papers/lv-2024-full-parameter-fine-tuning-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kai Lv, Yuqing Yang, Tengxiao Liu, et al.*2024 · 143 citations*
31. **[Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning ↗](https://aclanthology.org/2021.emnlp-main.241/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Linyang Li et al.*2021 · 141 citations*
32. **[DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models](https://md.research.elamur.ai/free/en/papers/he-2023-diffusionbert-improving-generative-masked-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengfu He, Tianxiang Sun, Qiong Tang, et al.*2023 · 136 citations*
33. **[Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network](https://md.research.elamur.ai/free/en/papers/chen-2016-implicit-discourse-relation-detection-deep/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jifan Chen, Qi Zhang, Pengfei Liu, et al.*2016 · 115 citations*
34. **[CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors](https://md.research.elamur.ai/free/en/papers/li-2023-codeie-large-code-generation-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peng Li, Tianxiang Sun, Qiong Tang, et al.*2023 · 109 citations*
35. [**Evaluating the Performance of Large Language Models on GAOKAO Benchmark arXiv:2305.12474**Xiaotian Zhang, Chunyang Li, Yi Zong, et al.*2023 · 109 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-evaluating-performance-large-language/)
36. **[Improving Image Captioning with Better Use of Caption ↗](https://aclanthology.org/2020.acl-main.664/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Zhan Shi et al.*2020 · 97 citations*
37. **[Alignment for Honesty](https://md.research.elamur.ai/free/en/papers/yang-2023-alignment-honesty/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yuqing Yang, Ethan Chern, Xipeng Qiu, et al.*2023 · 90 citations*
38. **[KNN-Contrastive Learning for Out-of-Domain Intent Classification ↗](https://aclanthology.org/2022.acl-long.352/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yunhua Zhou, Peiju Liu, Xipeng Qiu*2022 · 85 citations*
39. **[Finding Support Examples for In-Context Learning](https://md.research.elamur.ai/free/en/papers/li-2023-finding-support-examples-context-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaonan Li, Xipeng Qiu*2023 · 78 citations*
40. **[An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition ↗](https://aclanthology.org/2023.acl-short.123/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Hang Yan et al.*2023 · 77 citations*
41. **[Deep Fusion LSTMs for Text Semantic Matching ↗](https://aclanthology.org/P16-1098/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Pengfei Liu et al.*2016 · 77 citations*
42. [**Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders arXiv:2410.20526**Zhengfu He, Wentao Shu, Xuyang Ge, et al.*2024 · 63 citations*](https://md.research.elamur.ai/free/en/papers/he-2024-llama-scope-extracting-millions-features/)
43. **[CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training ↗](https://aclanthology.org/2020.webnlg-1.8/) Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+) · no summary yet**Qipeng Guo et al.*2020 · 61 citations*
44. **[Deep Multi-Task Learning with Shared Memory for Text Classification ↗](https://aclanthology.org/D16-1012/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Pengfei Liu, Xipeng Qiu, Xuanjing Huang*2016 · 59 citations*
45. **[GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation ↗](https://aclanthology.org/2020.coling-main.217/) Proceedings of the 28th International Conference on Computational Linguistics · no summary yet**Zhijing Jin et al.*2020 · 58 citations*
46. [**Scaling Laws of RoPE-based Extrapolation arXiv:2310.05209**Xiaoran Liu, Hang Yan, Shuo Zhang, et al.*2023 · 54 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-scaling-laws-rope-based/)
47. [**SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models arXiv:2308.16692**Xin Zhang, Dong Zhang, Shimin Li, et al.*2023 · 53 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-speechtokenizer-unified-speech-tokenizer-speech/)
48. **[A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing](https://md.research.elamur.ai/free/en/papers/yan-2020-graph-based-model-joint-chinese/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Hang Yan, Xipeng Qiu, Xuanjing Huang*2020 · 53 citations*
49. **[Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration ↗](https://arxiv.org/abs/2310.00280) arXiv:2310.00280 · no summary yet**Qiushi Sun et al.*2023 · 41 citations*
50. **[Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?](https://md.research.elamur.ai/free/en/papers/zeng-2025-revisiting-test-time-scaling-o1/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.*2025 · 38 citations*
51. **[AgentGym: Evolving Large Language Model-based Agents across Diverse Environments ↗](https://arxiv.org/abs/2406.04151) arXiv:2406.04151 · no summary yet**Zhiheng Xi et al.*2024 · 33 citations*
52. **[Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective ↗](https://arxiv.org/abs/2412.14135) arXiv:2412.14135 · no summary yet**Zhiyuan Zeng et al.*2024 · 33 citations*
53. **[ConvSearch-R1: Enhancing Query Reformulation for Conversational Search with Reasoning via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhu-2025-convsearch-r1-enhancing-query-reformulation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Changtai Zhu, Siyin Wang, Ruijun Feng, et al.*2025 · 13 citations*
54. **[VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search](https://md.research.elamur.ai/free/en/papers/wang-2025-visuothink-empowering-lvlm-reasoning-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yikun Wang, Siyin Wang, Qinyuan Cheng, et al.*2025 · 13 citations*
55. **[REARANK: Reasoning Re-ranking Agent via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhang-2025-rearank-reasoning-re-ranking-agent/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Le Zhang, Bo Wang, Xipeng Qiu, et al.*2025 · 12 citations*
56. **[Dual Cache for Long Document Neural Coreference Resolution](https://md.research.elamur.ai/free/en/papers/guo-2023-dual-cache-long-document-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qipeng Guo, Xiangkun Hu, Yue Zhang, et al.*2023 · 12 citations*
57. [**GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation arXiv:2402.15745**Yi Zong, Xipeng Qiu*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/zong-2024-gaokao-mm-chinese-human/)
58. [**Unearthing Large Scale Domain-Specific Knowledge from Public Corpora arXiv:2401.14624**Zhaoye Fei, Yunfan Shao, Linyang Li, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/fei-2024-unearthing-large-scale-domain-specific/)
59. **[HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding](https://md.research.elamur.ai/free/en/papers/zhang-2026-hermes-kv-cache-as-hierarchical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haowei Zhang, Shudong Yang, Jinlan Fu, et al.*2026 · 9 citations*
60. **[FastMCTS: A Simple Sampling Strategy for Data Synthesis](https://md.research.elamur.ai/free/en/papers/li-2025-fastmcts-simple-sampling-strategy-data/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peiji Li, Kai Lv, Yunfan Shao, et al.*2025 · 8 citations*
61. **[Case2Code: Scalable Synthetic Data for Code Generation](https://md.research.elamur.ai/free/en/papers/shao-2025-case2code-scalable-synthetic-data-code/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yunfan Shao, Linyang Li, Yichuan Ma, et al.*2025 · 7 citations*
62. **[Detecting Hedge Cues and their Scopes with Average Perceptron](https://md.research.elamur.ai/free/en/papers/ji-2010-detecting-hedge-cues-their-scopes/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Feng Ji, Xipeng Qiu, Xuanjing Huang*2010 · 7 citations*
63. **[XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs](https://md.research.elamur.ai/free/en/papers/gong-2026-xy-tokenizer-mitigating-semantic-acoustic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yitian Gong, Luozhijie Jin, Kuangwei Chen, et al.*2026 · 4 citations*
64. **[Mitigating Negative Style Transfer in Hybrid Dialogue System ↗](https://arxiv.org/abs/2212.07183) arXiv:2212.07183 · no summary yet**Shimin Li et al.*2022 · 3 citations*
65. **[ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/yin-2026-arise-adaptive-resolution-aware-metric/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhangyue Yin, Qiushi Sun, Zhiyuan Zeng, et al.*2026 · 1 citation*
66. **[How to Set the Learning Rate for Large-Scale Pre-training?](https://md.research.elamur.ai/free/en/papers/zhou-2026-how-set-learning-rate-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yunhua Zhou, Shuhao Xing, Junhao Huang, et al.*2026 · 1 citation*
67. **[Efficient KL Divergence Estimation via Truncated Top-K Integration for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-efficient-kl-divergence-estimation-truncated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyuan Wang, Luozhijie Jin, Bo Wang, et al.*2026*
68. **[WESR: A Benchmark and Strong Baseline for Word-level Event-Speech Recognition](https://md.research.elamur.ai/free/en/papers/yang-2026-wesr-benchmark-strong-baseline-word/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenchen Yang, Kexin Huang, Liwei Fan, et al.*2026*