---
title: "Hong Kong University of Science and Technology — works"
description: "39 works by researchers of Hong Kong University of Science and Technology in our library, the most cited first."
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---
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# Works of Hong Kong University of Science and Technology

39 works · the most cited first · [← Hong Kong University of Science and Technology](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/)

1. [**Survey of Hallucination in Natural Language Generation**Ziwei Ji, Nayeon Lee, Rita Frieske, et al.*2022 · 5,947 citations*](https://md.research.elamur.ai/free/en/papers/ji-2022-survey-hallucination-natural-language-generation/)
2. [**A Survey on Evaluation of Large Language Models**Yupeng Chang, Xu Wang, Jindong Wang, et al.*2023 · 3,640 citations*](https://md.research.elamur.ai/free/en/papers/chang-2023-survey-evaluation-large-language-models/)
3. [**InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning**Wenliang Dai, Junnan Li, Dongxu Li, et al.*2023 · 1,051 citations*](https://md.research.elamur.ai/free/en/papers/dai-2023-instructblip-towards-general-purpose-vision/)
4. [**A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity**Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.*2023 · 866 citations*](https://md.research.elamur.ai/free/en/papers/bang-2023-multitask-multilingual-multimodal-evaluation-chatgpt/)
5. [**Plug and Play Language Models: A Simple Approach to Controlled Text Generation**Sumanth Dathathri, Andrea Madotto, Janice Lan, et al.*2019 · 562 citations*](https://md.research.elamur.ai/free/en/papers/dathathri-2019-plug-play-language-models-simple/)
6. [**MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models**Longhui Yu, Weisen Jiang, Han Shi, et al.*2023 · 556 citations*](https://md.research.elamur.ai/free/en/papers/yu-2023-metamath-bootstrap-your-own-mathematical/)
7. [**Improving Statistical Machine Translation Using Word Sense Disambiguation**Marine Carpuat, Dekai Wu*2007 · 505 citations*](https://md.research.elamur.ai/free/en/papers/carpuat-2007-improving-statistical-machine-translation-word/)
8. [**Reducing Gender Bias in Abusive Language Detection**Ji Ho Park, Jamin Shin, Pascale Fung*2018 · 464 citations*](https://md.research.elamur.ai/free/en/papers/park-2018-reducing-gender-bias-abusive-language/)
9. [**An IR Approach for Translating New Words from Nonparallel, Comparable Texts**Pascale Fung, Lo Yuen Yee*1998 · 442 citations*](https://md.research.elamur.ai/free/en/papers/fung-1998-ir-approach-translating-new-words/)
10. [**One-step and Two-step Classification for Abusive Language Detection on Twitter**Ji Ho Park, Pascale Fung*2017 · 433 citations*](https://md.research.elamur.ai/free/en/papers/park-2017-one-step-two-step-classification/)
11. [**Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection**Shilong Liu, Zhaoyang Zeng, Tianhe Ren, et al.*2023 · 430 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-grounding-dino-marrying-dino-grounded/)
12. [**C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models**Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al.*2023 · 427 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-c-eval-multi-level-multi/)
13. [**Multilingual and Multi-Aspect Hate Speech Analysis**Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, et al.*2019 · 408 citations*](https://md.research.elamur.ai/free/en/papers/ousidhoum-2019-multilingual-multi-aspect-hate-speech/)
14. [**Findings of the 2020 Conference on Machine Translation (WMT20)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/)
15. [**Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems**Andrea Madotto, Chien-Sheng Wu, Pascale Fung*2018 · 401 citations*](https://md.research.elamur.ai/free/en/papers/madotto-2018-mem2seq-effectively-incorporating-knowledge-bases/)
16. [**A Survey on Large Language Models for Code Generation**Juyong Jiang, Fan Wang, Jiasi Shen, et al.*2024 · 366 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2024-survey-large-language-models-code/)
17. [**Towards Mitigating LLM Hallucination via Self Reflection**Ziwei Ji, Tiezheng Yu, Yan Xu, et al.*2023 · 352 citations*](https://md.research.elamur.ai/free/en/papers/ji-2023-mitigating-llm-hallucination-self-reflection/)
18. [**Overview for the First Shared Task on Language Identification in Code-Switched Data**Thamar Solorio, Elizabeth Blair, Suraj Maharjan, et al.*2014 · 303 citations*](https://md.research.elamur.ai/free/en/papers/solorio-2014-overview-first-shared-task-language/)
19. [**MoEL: Mixture of Empathetic Listeners**Zhaojiang Lin, Andrea Madotto, Jamin Shin, et al.*2019 · 301 citations*](https://md.research.elamur.ai/free/en/papers/lin-2019-moel-mixture-empathetic-listeners/)
20. [**Multi-step Jailbreaking Privacy Attacks on ChatGPT**Haoran Li, Dadi Guo, Wei Fan, et al.*2023 · 298 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-multi-step-jailbreaking-privacy-attacks/)
21. [**MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning**Xiang Yue, Xingwei Qu, Ge Zhang, et al.*2023 · 288 citations*](https://md.research.elamur.ai/free/en/papers/yue-2023-mammoth-building-math-generalist-models/)
22. [**API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs**Minghao Li, Yingxiu Zhao, Bowen Yu, et al.*2023 · 281 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-api-bank-comprehensive-benchmark-tool/)
23. [**IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding**Bryan Wilie, Karissa Vincentio, Genta Indra Winata, et al.*2020 · 265 citations*](https://md.research.elamur.ai/free/en/papers/wilie-2020-indonlu-benchmark-resources-evaluating-indonesian/)
24. [**MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems**Zhaojiang Lin, Andrea Madotto, Genta Indra Winata, et al.*2020 · 239 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-mintl-minimalist-transfer-learning-task/)
25. [**Auto-Debias: Debiasing Masked Language Models with Automated Biased Prompts**Yue Guo, Yi Yang, Ahmed Abbasi*2022 · 191 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-auto-debias-debiasing-masked-language/)
26. [**RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models**Zekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.*2023 · 186 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-rolellm-benchmarking-eliciting-enhancing-role/)
27. [**Event Detection and Co-reference with Minimal Supervision**Haoruo Peng, Yangqiu Song, Dan Roth*2016 · 180 citations*](https://md.research.elamur.ai/free/en/papers/peng-2016-event-detection-co-reference-minimal/)
28. [**What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning**Wei Liu, Weihao Zeng, Keqing He, et al.*2023 · 174 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-makes-good-data-alignment-comprehensive/)
29. [**Language Models are Few-shot Multilingual Learners**Genta Indra Winata, Andrea Madotto, Zhaojiang Lin, et al.*2021 · 173 citations*](https://md.research.elamur.ai/free/en/papers/winata-2021-language-models-are-few-shot/)
30. [**FacTool: Factuality Detection in Generative AI — A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios**I-Chun Chern, Steffi Chern, Shiqi Chen, et al.*2023 · 158 citations*](https://md.research.elamur.ai/free/en/papers/chern-2023-factool-factuality-detection-generative-ai/)
31. [**MEANT: An inexpensive, high-accuracy, semi-automatic metric for evaluating translation utility based on semantic roles**Chi-kiu Lo, Dekai Wu*2011 · 134 citations*](https://md.research.elamur.ai/free/en/papers/lo-2011-meant-inexpensive-high-accuracy-semi/)
32. [**Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations**Chunkit Chan, Cheng Jiayang, Weiqi Wang, et al.*2024 · 92 citations*](https://md.research.elamur.ai/free/en/papers/chan-2024-exploring-potential-chatgpt-sentence-level/)
33. [**MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models**Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al.*2024 · 66 citations*](https://md.research.elamur.ai/free/en/papers/kwan-2024-mt-eval-multi-turn-capabilities/)
34. [**Incorporating Context and External Knowledge for Pronoun Coreference Resolution**Hongming Zhang, Yan Song, Yangqiu Song*2019 · 54 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-incorporating-context-external-knowledge-pronoun/)
35. [**Knowledge-aware Pronoun Coreference Resolution**Hongming Zhang, Yan Song, Yangqiu Song, et al.*2019 · 49 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2019-knowledge-aware-pronoun-coreference-resolution/)
36. [**DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition**Chunkit Chan, Xin Liu, Jiayang Cheng, et al.*2023 · 45 citations*](https://md.research.elamur.ai/free/en/papers/chan-2023-discoprompt-path-prediction-prompt-tuning/)
37. [**What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues**Xintong Yu, Hongming Zhang, Yangqiu Song, et al.*2019 · 42 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-what-you-see-is-what/)
38. [**Global and Local Hierarchy-aware Contrastive Framework for Implicit Discourse Relation Recognition**Yuxin Jiang, Linhan Zhang, Wei Wang*2023 · 28 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2023-global-local-hierarchy-aware-contrastive/)
39. [**PCR4ALL: A Comprehensive Evaluation Benchmark for Pronoun Coreference Resolution in English**Xinran Zhao, Hongming Zhang, Yangqiu Song*2022 · 3 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2022-pcr4all-comprehensive-evaluation-benchmark-pronoun/)
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