---
title: "Lei Hou — all works — Elamur Research"
description: "All 34 works of Lei Hou 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/lei-hou/works/"
---
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# Lei Hou — all works

34 works · [← Lei Hou](https://md.research.elamur.ai/free/en/authors/lei-hou/)

1. [**LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding arXiv:2308.14508**Yushi Bai, Xin Lv, Jiajie Zhang, et al.*2023 · 514 citations*](https://md.research.elamur.ai/free/en/papers/bai-2023-longbench-bilingual-multitask-benchmark/)
2. **[Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model ↗](https://aclanthology.org/D19-1274/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Chengjiang Li et al.*2019 · 191 citations*
3. **[TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graph ↗](https://aclanthology.org/2021.emnlp-main.341/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jiaxin Shi et al.*2021 · 162 citations*
4. **[CLEVE: Contrastive Pre-training for Event Extraction](https://md.research.elamur.ai/free/en/papers/wang-2021-cleve-contrastive-pre-training-event/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziqi Wang, Xiaozhi Wang, Xu Han, et al.*2021 · 155 citations*
5. **[MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs ↗](https://aclanthology.org/2020.acl-main.285/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Jifan Yu et al.*2020 · 155 citations*
6. **[Improving Event Detection via Open-domain Trigger Knowledge ↗](https://aclanthology.org/2020.acl-main.522/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Meihan Tong et al.*2020 · 143 citations*
7. [**LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks arXiv:2412.15204**Yushi Bai, Shangqing Tu, Jiajie Zhang, et al.*2024 · 135 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-longbench-v2-deeper-understanding/)
8. **[KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base ↗](https://aclanthology.org/2022.acl-long.422/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shulin Cao et al.*2022 · 135 citations*
9. **[Differentiating Concepts and Instances for Knowledge Graph Embedding ↗](https://aclanthology.org/D18-1222/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Xin Lv et al.*2018 · 130 citations*
10. **[Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach ↗](https://aclanthology.org/2022.findings-acl.282/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Xin Lv et al.*2022 · 117 citations*
11. **[On Transferability of Prompt Tuning for Natural Language Processing ↗](https://aclanthology.org/2022.naacl-main.290/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Yusheng Su et al.*2022 · 107 citations*
12. **[Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations ↗](https://aclanthology.org/D19-1334/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Xin Lv et al.*2019 · 104 citations*
13. [**LongAlign: A Recipe for Long Context Alignment of Large Language Models arXiv:2401.18058**Yushi Bai, Xin Lv, Jiajie Zhang, et al.*2024 · 98 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-longalign-recipe-long-context/)
14. **[MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction](https://md.research.elamur.ai/free/en/papers/wang-2022-maven-ere-unified-large-scale/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaozhi Wang, Yulin Chen, Ning Ding, et al.*2022 · 96 citations*
15. **[Finding Skill Neurons in Pre-trained Transformer-based Language Models](https://md.research.elamur.ai/free/en/papers/wang-2022-finding-skill-neurons-pre-trained/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaozhi Wang, Kaiyue Wen, Zhengyan Zhang, et al.*2022 · 85 citations*
16. **[Simulating Classroom Education with LLM-Empowered Agents](https://md.research.elamur.ai/free/en/papers/zhang-2025-simulating-classroom-education-llm-empowered/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu, et al.*2025 · 84 citations*
17. **[Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks ↗](https://aclanthology.org/D19-1502/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Hailong Jin et al.*2019 · 73 citations*
18. **[Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph ↗](https://aclanthology.org/2020.emnlp-main.459/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Xin Lv et al.*2020 · 69 citations*
19. [**LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs arXiv:2408.07055**Yushi Bai, Jiajie Zhang, Xin Lv, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/bai-2024-longwriter-unleashing-10-000/)
20. [**RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style arXiv:2410.16184**Yantao Liu, Zijun Yao, Rui Min, et al.*2024 · 53 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-rm-bench-benchmarking-reward-models/)
21. **[SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/yao-2025-seakr-self-aware-knowledge-retrieval/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zijun Yao, Weijian Qi, Liangming Pan, et al.*2025 · 52 citations*
22. **[AdaptThink: Reasoning Models Can Learn When to Think](https://md.research.elamur.ai/free/en/papers/zhang-2025-adaptthink-reasoning-models-can-learn/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiajie Zhang, Nianyi Lin, Lei Hou, et al.*2025 · 44 citations*
23. [**When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks arXiv:2311.08993**Hao Peng, Xiaozhi Wang, Jianhui Chen, et al.*2023 · 42 citations*](https://md.research.elamur.ai/free/en/papers/peng-2023-context-learning-fall-short-why/)
24. **[LongReward: Improving Long-context Large Language Models with AI Feedback](https://md.research.elamur.ai/free/en/papers/zhang-2025-longreward-improving-long-context-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiajie Zhang, Zhongni Hou, Xin Lv, et al.*2025 · 21 citations*
25. **[Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems](https://md.research.elamur.ai/free/en/papers/peng-2025-agentic-reward-modeling-integrating-human/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.*2025 · 18 citations*
26. **[VerIF: Verification Engineering for Reinforcement Learning in Instruction Following](https://md.research.elamur.ai/free/en/papers/peng-2025-verif-verification-engineering-reinforcement-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.*2025 · 18 citations*
27. **[Pre-training Distillation for Large Language Models: A Design Space Exploration](https://md.research.elamur.ai/free/en/papers/peng-2025-pre-training-distillation-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Xin Lv, Yushi Bai, et al.*2025 · 14 citations*
28. **[MAVEN-FACT: A Large-scale Event Factuality Detection Dataset](https://md.research.elamur.ai/free/en/papers/li-2024-maven-fact-large-scale-event/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chunyang Li, Hao Peng, Xiaozhi Wang, et al.*2024 · 6 citations*
29. **[DeepPrune: Parallel Scaling without Inter-trace Redundancy](https://md.research.elamur.ai/free/en/papers/tu-2026-deepprune-parallel-scaling-without-inter/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shangqing Tu, Yaxuan Li, Yushi Bai, et al.*2026 · 3 citations*
30. **[ParaMac: A General Unsupervised Paraphrase Generation Framework Leveraging Semantic Constraints and Diversifying Mechanisms ↗](https://aclanthology.org/2022.findings-emnlp.461/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Jinxin Liu et al.*2022 · 3 citations*
31. **[From Knowing to Teaching: Scaffolding Pedagogical Decisions for LLM Agent](https://md.research.elamur.ai/free/en/papers/wang-2026-knowing-teaching-scaffolding-pedagogical-decisions/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yucheng Wang, Shen Yang, Jifan Yu, et al.*2026*
32. **[WildReward: Learning Reward Models from In-the-Wild Human Interactions](https://md.research.elamur.ai/free/en/papers/peng-2026-wildreward-learning-reward-models-wild/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.*2026*
33. **[Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards ↗](https://aclanthology.org/2026.acl-long.950/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jiajie Zhang et al.*2026*
34. **[Can Large Language Models Effectively Support Decision-Making in Sudden Emergencies? ↗](https://aclanthology.org/2026.findings-acl.1820/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Mengna Zhu et al.*2026*