--- title: "GEM 2023 — accepted papers — Elamur Research" description: "GEM 2023 — accepted papers: 1 paper in the Elamur Research library (Singapore), with our summaries, ranked by citations." canonical: "https://research.elamur.ai/free/en/venues/gem/2023/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/gem/2023/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [GEM](https://md.research.elamur.ai/free/en/venues/gem/) / 2023 # GEM 2023 — accepted papers GEM 2023 is the 2023 edition of the Workshop on Generation, Evaluation and Metrics (GEM), held in Singapore, December 2023 (publisher: Association for Computational Linguistics). The ACL Anthology lists 32 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions. 📍 [Singapore](https://md.research.elamur.ai/free/en/countries/singapore/) · 🗓 December 2023 [**32** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/gem/2023/#works) · [**2** citations of these works](https://md.research.elamur.ai/free/en/venues/gem/2023/#works) ## All accepted papers (32) The most cited first; 1 with our summary link to their page here, the others to the original. 1. **[A Simple yet Efficient Ensemble Approach for AI-generated Text Detection ↗](https://aclanthology.org/2023.gem-1.32/)**Harika Abburi, Kalyani Roy, Michael Suesserman et al. 2. **[Adapting Pre-trained Generative Models for Extractive Question Answering ↗](https://aclanthology.org/2023.gem-1.11/)**Prabir Mallick, Tapas Nayak, Indrajit Bhattacharya 3. **[An Empirical Bayes Framework for Open-Domain Dialogue Generation ↗](https://aclanthology.org/2023.gem-1.17/)**Jing Yang Lee, Kong Aik Lee, Woon Seng Gan 4. **[Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs ↗](https://aclanthology.org/2023.gem-1.25/)**Xue-Yong Fu, Md Tahmid Rahman Laskar, Cheng Chen et al. 5. **[Automatic Evaluation of Generative Models with Instruction Tuning ↗](https://aclanthology.org/2023.gem-1.4/)**Shuhaib Mehri, Vered Shwartz 6. **[Automatic Reflection Generation for Peer-to-Peer Counseling ↗](https://aclanthology.org/2023.gem-1.6/)**Emma O'neil, João Sedoc, Diyi Yang et al. 7. **[ChatGPT as a Java Decompiler ↗](https://aclanthology.org/2023.gem-1.19/)**Bradley Mcdanel, Zhanhao Liu 8. **[Context and Literacy Aware Learnable Metric for Text Simplification ↗](https://aclanthology.org/2023.gem-1.15/)**Jeongwon Kwak, Hyeryun Park, Kyungmo Kim et al. 9. **[Contextualizing the Limits of Model & Evaluation Dataset Curation on Semantic Similarity Classification Tasks ↗](https://aclanthology.org/2023.gem-1.1/)**Daniel Theron 10. **[Dialogue Quality and Emotion Annotations for Customer Support Conversations ↗](https://aclanthology.org/2023.gem-1.2/)**John Mendonca, Patrícia Pereira, Miguel Menezes et al. 11. **[Effective Proxy for Human Labeling: Ensemble Disagreement Scores in Large Language Models for Industrial NLP ↗](https://aclanthology.org/2023.gem-1.5/)**Wei Du, Laksh Advani, Yashmeet Gambhir et al. 12. **[Elo Uncovered: Robustness and Best Practices in Language Model Evaluation ↗](https://aclanthology.org/2023.gem-1.28/)**Meriem Boubdir, Edward Kim, Beyza Ermis et al. 13. **[Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models ↗](https://aclanthology.org/2023.gem-1.18/)**Joseph Marvin Imperial, Harish Tayyar Madabushi 14. **[Formalizing content creation and evaluation methods for AI-generated social media content ↗](https://aclanthology.org/2023.gem-1.3/)**Christian Jensen, Axel Højmark 15. **[Harnessing the Plug-and-Play Controller by Prompting ↗](https://aclanthology.org/2023.gem-1.14/)**Hao Wang, Lei Sha 16. **[How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation Extraction](https://md.research.elamur.ai/free/en/papers/chanthran-2023-how-well-chatgpt-understand-malaysian/)**Mohan Raj Chanthran, Lay-Ki Soon, Huey Fang Ong et al.*our summary* 17. **[Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce ↗](https://aclanthology.org/2023.gem-1.8/)**Jianghong Zhou, Bo Liu, Jhalak Acharya et al. 18. **[Multi-domain Summarization from Leaderboards to Practice: Re-examining Automatic and Human Evaluation ↗](https://aclanthology.org/2023.gem-1.20/)**David Demeter, Oshin Agarwal, Simon Ben Igeri et al. 19. **[One-Shot and Few-Shot Exemplification Modeling ↗](https://aclanthology.org/2023.gem-1.7/)**John Harvill, Hee Suk Yoon, Eunseop Yoon et al. 20. **[PersonalityChat: Conversation Distillation for Personalized Dialog Modeling with Facts and Traits ↗](https://aclanthology.org/2023.gem-1.29/)**Ehsan Lotfi, Maxime De Bruyn, Jeska Buhmann et al. 21. **[Post Turing: Mapping the landscape of LLM Evaluation ↗](https://aclanthology.org/2023.gem-1.31/)**Alexey Tikhonov, Ivan P. Yamshchikov 22. **[Predicting Question-Answering Performance of Large Language Models through Semantic Consistency ↗](https://aclanthology.org/2023.gem-1.12/)**Ella Rabinovich, Samuel Ackerman, Orna Raz et al. 23. **[QAMPARI: A Benchmark for Open-domain Questions with Many Answers ↗](https://aclanthology.org/2023.gem-1.9/)**Samuel Amouyal, Tomer Wolfson, Ohad Rubin et al. 24. **[RankAug: Augmented data ranking for text classification ↗](https://aclanthology.org/2023.gem-1.26/)**Tiasa Roy, Priyam Basu 25. **[Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses ↗](https://aclanthology.org/2023.gem-1.22/)**Xenia Ohmer, Elia Bruni, Dieuwke Hupkes [See all 32 papers in GEM 2023 — accepted papers →](https://md.research.elamur.ai/free/en/venues/gem/2023/papers/) ## Papers with our summary in our library (1) The most cited first (OpenAlex citations plus our library's). 1. **[How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation Extraction](https://md.research.elamur.ai/free/en/papers/chanthran-2023-how-well-chatgpt-understand-malaysian/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Mohan Raj Chanthran, Lay-Ki Soon, Huey Fang Ong, et al.*2023 · 2 citations* ## Top topics Topics of its works in our library, with the number of works on each. [Named entity recognition (1)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Information extraction (1)](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [English (1)](https://md.research.elamur.ai/free/en/topics/english/) ## Fields [Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Bhawani Selvaretnam**1 work here · 2 citations](https://md.research.elamur.ai/free/en/authors/bhawani-selvaretnam/) · [🧑‍🔬**Huey Fang Ong**1 work here · 2 citations](https://md.research.elamur.ai/free/en/authors/huey-fang-ong/) · [🧑‍🔬**Lay-Ki Soon**1 work here · 2 citations](https://md.research.elamur.ai/free/en/authors/lay-ki-soon/) · [🧑‍🔬**Mohan Raj Chanthran**1 work here · 2 citations](https://md.research.elamur.ai/free/en/authors/mohan-raj-chanthran/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**Monash University Malaysia** Subang Jaya · Malaysia 1 work here](https://md.research.elamur.ai/free/en/universities/monash-university-malaysia/) Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library. - [← previous GEM 2022](https://md.research.elamur.ai/free/en/venues/gem/2022/) - [next → GEM 2026](https://md.research.elamur.ai/free/en/venues/gem/2026/) - [↑ back to GEM](https://md.research.elamur.ai/free/en/venues/gem/)