---
title: "Who cites Han Xiao — 209 papers of our library"
description: "209 papers of the Elamur Research library cite the works of Han Xiao, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/han-xiao/cited-by/"
---
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# Who cites Han Xiao

213 citations of their works from 209 papers of our library (of the 149,439 whose bibliographies we read) · 58 with a page here, the most cited first · [← Han Xiao](https://md.research.elamur.ai/free/en/authors/han-xiao/)

1. [**M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation arXiv:2402.03216**Jianlv Chen, Shitao Xiao, Peitian Zhang, et al.*2024 · 1,196 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-m3-embedding-multi-linguality/)
2. **[mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval](https://md.research.elamur.ai/free/en/papers/zhang-2024-mgte-generalized-long-context-text/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xin Zhang, Yanzhao Zhang, Dingkun Long, et al.*2024 · 237 citations*
3. [**Generative Representational Instruction Tuning arXiv:2402.09906**Niklas Muennighoff, Hongjin Su, Liang Wang, et al.*2024 · 172 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2024-generative-representational-instruction-tuning/)
4. [**LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression arXiv:2310.06839**Huiqiang Jiang, Qianhui Wu, Xufang Luo, et al.*2023 · 158 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2023-longllmlingua-accelerating-enhancing-llms-long/)
5. **[Searching for Best Practices in Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wang-2024-searching-best-practices-retrieval-augmented/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaohua Wang, Zhenghua Wang, Xuan Gao, et al.*2024 · 150 citations*
6. **[LLaVA-CoT: Let Vision Language Models Reason Step-by-Step](https://md.research.elamur.ai/free/en/papers/xu-2024-llava-cot-let-vision-language/) [IEEE/CVF International Conference on Computer Vision (ICCV)](https://md.research.elamur.ai/free/en/venues/ieee-cvf-international-conference-on-computer-vision-iccv/)**Guowei Xu, Peng Jin, Ziang Wu, et al.*2024 · 138 citations*
7. [**Nomic Embed: Training a Reproducible Long Context Text Embedder arXiv:2402.01613**Zach Nussbaum, John X. Morris, Brandon Duderstadt, et al.*2024 · 126 citations*](https://md.research.elamur.ai/free/en/papers/nussbaum-2024-nomic-embed-training-reproducible-long/)
8. [**jina-embeddings-v3: Multilingual Embeddings With Task LoRA arXiv:2409.10173**Saba Sturua, Isabelle Mohr, Mohammad Kalim Akram, et al.*2024 · 109 citations*](https://md.research.elamur.ai/free/en/papers/sturua-2024-jina-embeddings-v3-multilingual-embeddings/)
9. [**MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries arXiv:2401.15391**Yixuan Tang, Yi Yang*2024 · 105 citations*](https://md.research.elamur.ai/free/en/papers/tang-2024-multihop-rag-benchmarking-retrieval-augmented/)
10. [**A Comprehensive Survey on Long Context Language Modeling arXiv:2503.17407**Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.*2025 · 64 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-comprehensive-survey-long-context-language/)
11. **[CoT-Valve: Length-Compressible Chain-of-Thought Tuning](https://md.research.elamur.ai/free/en/papers/ma-2025-cot-valve-length-compressible-chain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyin Ma, Guangnian Wan, Runpeng Yu, et al.*2025 · 64 citations*
12. [**Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy arXiv:2507.01352**Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.*2025 · 48 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-skywork-reward-v2-scaling/)
13. **[Improve Vision Language Model Chain-of-thought Reasoning](https://md.research.elamur.ai/free/en/papers/zhang-2025-improve-vision-language-model-chain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruohong Zhang, Bowen Zhang, Yanghao Li, et al.*2025 · 42 citations*
14. **[LongEmbed: Extending Embedding Models for Long Context Retrieval](https://md.research.elamur.ai/free/en/papers/zhu-2024-longembed-extending-embedding-models-long/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Dawei Zhu, Liang Wang, Nan Yang, et al.*2024 · 37 citations*
15. **[Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models](https://md.research.elamur.ai/free/en/papers/zhifei-2025-audio-reasoner-improving-reasoning-capability/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xie Zhifei, Mingbao Lin, Zihang Liu, et al.*2025 · 25 citations*
16. **[OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain](https://md.research.elamur.ai/free/en/papers/wang-2025-omnieval-omnidirectional-automatic-rag-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shuting Wang, Jiejun Tan, Zhicheng Dou, et al.*2025 · 24 citations*
17. **[VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wang-2025-vrag-rl-empower-vision-perception/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Qiuchen Wang, Ruixue Ding, Yu Zeng, et al.*2025 · 23 citations*
18. [**NeoBERT: A Next-Generation BERT arXiv:2502.19587**Lola Le Breton, Quentin Fournier, Mariam El Mezouar, et al.*2025 · 20 citations*](https://md.research.elamur.ai/free/en/papers/breton-2025-neobert-next-generation-bert/)
19. **[Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs](https://md.research.elamur.ai/free/en/papers/xia-2025-beyond-chain-thought-survey-chain/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yu Xia, Rui Wang, Xu Liu, et al.*2025 · 19 citations*
20. **[MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought Verification](https://md.research.elamur.ai/free/en/papers/sun-2025-mm-verify-enhancing-multimodal-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Linzhuang Sun, Hao Liang, Jingxuan Wei, et al.*2025 · 19 citations*
21. **[Swan and ArabicMTEB: Dialect-Aware, Arabic-Centric, Cross-Lingual, and Cross-Cultural Embedding Models and Benchmarks](https://md.research.elamur.ai/free/en/papers/bhatia-2025-swan-arabicmteb-dialect-aware-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Gagan Bhatia, El Moatez Billah Nagoudi, Abdellah El Mekki, et al.*2025 · 13 citations*
22. [**BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science arXiv:2407.00466**Xinna Lin, Siqi Ma, Junjie Shan, et al.*2024 · 12 citations*](https://md.research.elamur.ai/free/en/papers/lin-2024-biokgbench-knowledge-graph-checking-benchmark/)
23. **[Pearl: A Multimodal Culturally-Aware Arabic Instruction Dataset](https://md.research.elamur.ai/free/en/papers/alwajih-2025-pearl-multimodal-culturally-aware-arabic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fakhraddin Alwajih, Samar M. Magdy, Abdellah El Mekki, et al.*2025 · 11 citations*
24. **[SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models](https://md.research.elamur.ai/free/en/papers/diao-2025-soundmind-rl-incentivized-logic-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xingjian Diao, Chunhui Zhang, Keyi Kong, et al.*2025 · 11 citations*
25. **[AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time](https://md.research.elamur.ai/free/en/papers/zhang-2025-alphaone-reasoning-models-thinking-slow/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Junyu Zhang, Runpei Dong, Han Wang, et al.*2025 · 10 citations*
26. **[ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering](https://md.research.elamur.ai/free/en/papers/kaur-2026-chartagent-multimodal-agent-visually-grounded/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rachneet Kaur, Nishan Srishankar, Zhen Zeng, et al.*2026 · 5 citations*
27. **[Interleaved Latent Visual Reasoning with Selective Perceptual Modeling](https://md.research.elamur.ai/free/en/papers/dong-2026-interleaved-latent-visual-reasoning-selective/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuai Dong, Siyuan Wang, Xingyu Liu, et al.*2026 · 5 citations*
28. [**Bilingual BSARD: Extending Statutory Article Retrieval to Dutch Proceedings of the 1st Regulatory NLP Workshop (RegNLP 2025)**Ehsan Lotfi, Nikolay Banar, Nerses Yuzbashyan, et al.*2025 · 5 citations*](https://md.research.elamur.ai/free/en/papers/lotfi-2025-bilingual-bsard-extending-statutory-article/)
29. **[HiChunk: Evaluating and Enhancing Retrieval Augmented Generation with Hierarchical Chunking](https://md.research.elamur.ai/free/en/papers/lu-2026-hichunk-evaluating-enhancing-retrieval-augmented/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wensheng Lu, Keyu Chen, Zhifeng Shen, et al.*2026 · 4 citations*
30. **[MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch](https://md.research.elamur.ai/free/en/papers/banar-2026-mteb-nl-e5-nl-embedding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nikolay Banar, Ehsan Lotfi, Jens Van Nooten, et al.*2026 · 4 citations*
31. **[ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark](https://md.research.elamur.ai/free/en/papers/ghaboura-2026-arb-comprehensive-arabic-multimodal-reasoning/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sara Ghaboura, Shubham Patle, Ketan More, et al.*2026 · 3 citations*
32. **[ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning](https://md.research.elamur.ai/free/en/papers/zhou-2026-ark-answer-centric-retriever-tuning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiawei Zhou, Hang Ding, Haiyun Jiang*2026 · 3 citations*
33. **[Forest Before Trees: Latent Superposition for Efficient Visual Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-forest-before-trees-latent-superposition/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yubo Wang, Juntian Zhang, Yichen Wu, et al.*2026 · 3 citations*
34. **[BEIR-NL: Zero-shot Information Retrieval Benchmark for the Dutch Language](https://md.research.elamur.ai/free/en/papers/lotfi-2025-beir-nl-zero-shot-information/) [Workshop on Building and Using Comparable Corpora (BUCC)](https://md.research.elamur.ai/free/en/venues/bucc/)**Ehsan Lotfi, Nikolay Banar, Walter Daelemans*2025 · 3 citations*
35. **[Neural network embeddings recover value dimensions from psychometric survey items on par with human data](https://md.research.elamur.ai/free/en/papers/pellert-2026-neural-network-embeddings-recover-value/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Max Pellert, Clemens M Lechner, Indira Sen, et al.*2026 · 2 citations*
36. **[CRAFT: Training-Free Cascaded Retrieval for Tabular QA](https://md.research.elamur.ai/free/en/papers/singh-2026-craft-training-free-cascaded-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Adarsh Singh, Kushal Raj Bhandari, Jianxi Gao, et al.*2026 · 1 citation*
37. **[NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/miao-2026-neoamt-neologism-aware-agentic-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhongtao Miao, Kaiyan Zhao, Masaaki Nagata, et al.*2026 · 1 citation*
38. **[ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers](https://md.research.elamur.ai/free/en/papers/sengupta-2026-tooldreamer-instilling-llm-reasoning-into/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Saptarshi Sengupta, Zhengyu Zhou, Jun Araki, et al.*2026 · 1 citation*
39. **[Benchmarking LLM's Capability in Reasoning over Conflicting Web References](https://md.research.elamur.ai/free/en/papers/yuan-2026-benchmarking-llm-s-capability-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yizhen Yuan, Rui Kong, Dongze Li, et al.*2026*
40. **[Beyond the Panorama: Training-Free Hierarchical Perception-Reasoning for Fine-Grained Vision in MLLMs](https://md.research.elamur.ai/free/en/papers/yi-2026-beyond-panorama-training-free-hierarchical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyang Yi, Jing Chen, Li Peng, et al.*2026*
41. **[DiNO: Disinformation Narrative Observer](https://md.research.elamur.ai/free/en/papers/sosnowski-2026-dino-disinformation-narrative-observer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Witold Sosnowski, Arkadiusz Modzelewski, Kinga Skorupska, et al.*2026*
42. [**Does generative AI supersede supervised XMLC? A Benchmark Study on Automated Subject Indexing with German Scientific Literature arXiv:2607.14882**Maximilian Kahler, Katja Konermann, Lisa Kluge, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kahler-2026-generative-ai-supersede-supervised-xmlc/)
43. **[Enhancing Scholarly Knowledge Graphs via Domain-Specific Entity Detection and Linking](https://md.research.elamur.ai/free/en/papers/silva-2026-enhancing-scholarly-knowledge-graphs-domain/) [Natural Scientific Language Processing (NSLP) @ LREC](https://md.research.elamur.ai/free/en/venues/nslp/)**Nicolau Duran-Silva, César A. Parra-Rojas, Pablo Accuosto, et al.*2026*
44. **[GoViG: Goal-Conditioned Visual Navigation Instruction Generation via Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-govig-goal-conditioned-visual-navigation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fengyi Wu, Yifei Dong, Yilong Dai, et al.*2026*
45. [**Grounding Arabic LLMs in the Doha Historical Dictionary: Retrieval-Augmented Understanding of Quran and Hadith arXiv:2603.23972**Somaya Eltanbouly, Samer Rashwani*2026*](https://md.research.elamur.ai/free/en/papers/eltanbouly-2026-grounding-arabic-llms-doha-historical/)
46. **[Information Representation Fairness in Long-Document Embeddings: The Peculiar Interaction of Positional and Language Bias](https://md.research.elamur.ai/free/en/papers/schuhmacher-2026-information-representation-fairness-long-document/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Elias Schuhmacher, Andrianos Michail, Juri Opitz, et al.*2026*
47. **[KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge](https://md.research.elamur.ai/free/en/papers/robertson-2026-kghalubench-knowledge-graph-based-hallucination/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Alex Robertson, Huizhi Liang, Mahbub Gani, et al.*2026*
48. **[Multilingual-To-Multimodal (M2M): Unlocking New Languages with Monolingual Text](https://md.research.elamur.ai/free/en/papers/pasi-2026-multilingual-multimodal-m2m-unlocking-new/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Piyush Singh Pasi*2026*
49. **[Multimodal Large Language Models for Multi-Subject In-Context Image Generation](https://md.research.elamur.ai/free/en/papers/zhou-2026-multimodal-large-language-models-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yucheng Zhou, Dubing Chen, Huan Zheng, et al.*2026*
50. **[Output-Space Search: Targeting LLM Generations in a Frozen Encoder-Defined Output Space](https://md.research.elamur.ai/free/en/papers/materzok-2026-output-space-search-targeting-llm/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Tobias Materzok*2026*
51. **[SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes](https://md.research.elamur.ai/free/en/papers/wang-2026-scenealign-aligning-multimodal-reasoning-scene/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, et al.*2026*
52. **[Situated Embedding Models for Context-Aware Dense Retrieval](https://md.research.elamur.ai/free/en/papers/wu-2026-situated-embedding-models-context-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junjie Wu, Jiangnan Li, Yuqing Li, et al.*2026*
53. **[SkMTEB: Slovak Massive Text Embedding Benchmark and Model Adaptation](https://md.research.elamur.ai/free/en/papers/suppa-2026-skmteb-slovak-massive-text-embedding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Marek Suppa, Andrej Ridzik, Daniel Hládek, et al.*2026*
54. **[SR-RAG: Verifiable Multi-Hop Reasoning via On-the-fly Symbolic Graph Construction](https://md.research.elamur.ai/free/en/papers/wang-2026-sr-rag-verifiable-multi-hop/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zehua Wang, Zhaojin Zhang, Boyu Qiu, et al.*2026*
55. **[Student Guides Teacher: Weak-to-Strong Inference via Spectral Orthogonal Exploration](https://md.research.elamur.ai/free/en/papers/wang-2026-student-guides-teacher-weak-strong/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dayu Wang, Jiaye Yang, Weikang Li, et al.*2026*
56. **[Uncovering Currency Bias and Syntax Gap in Text Embedding Models](https://md.research.elamur.ai/free/en/papers/sudevan-2026-uncovering-currency-bias-syntax-gap/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Saurav Sudevan, Harsh Pal, Yatin Katyal, et al.*2026*
57. **[When Does Mixing Help? Analyzing Query Embedding Interpolation in Multilingual Dense Retrieval](https://md.research.elamur.ai/free/en/papers/zhu-2026-when-does-mixing-help-analyzing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tongyao Zhu, Huang Chao Ming, Min-Yen Kan*2026*
58. **[Where meaning lives: Layer-wise accessibility of psycholinguistic features in encoder and decoder language models](https://md.research.elamur.ai/free/en/papers/tikhomirova-2026-where-meaning-lives-layer-wise/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Taisiia Tikhomirova, Dirk U. Wulff*2026*

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