---
title: "GEM 2023 — all accepted papers with summaries and citations"
description: "All 32 papers of GEM 2023, the most cited first; those with our summary link to it. Among them: A Simple yet Efficient Ensemble Approach for…"
canonical: "https://research.elamur.ai/free/en/venues/gem/2023/papers/"
---
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# GEM 2023: all accepted papers

32 papers · the most cited first · [← GEM 2023](https://md.research.elamur.ai/free/en/venues/gem/2023/)

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
26. **[Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text ↗](https://aclanthology.org/2023.gem-1.27/)**Isaac Caswell, Lisa Wang, Isabel Papadimitriou
27. **[Synthetic Dialogue Dataset Generation using LLM Agents ↗](https://aclanthology.org/2023.gem-1.16/)**Yelaman Abdullin, Diego Molla, Bahadorreza Ofoghi et al.
28. **[Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness ↗](https://aclanthology.org/2023.gem-1.21/)**Valentin Barriere, Felipe del Rio, Andres Carvallo de Ferari et al.
29. **[Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity ↗](https://aclanthology.org/2023.gem-1.23/)**Joseph Gatto, Omar Sharif, Parker Seegmiller et al.
30. **[To Burst or Not to Burst: Generating and Quantifying Improbable Text ↗](https://aclanthology.org/2023.gem-1.24/)**Kuleen Sasse, Efsun Sarioglu Kayi, Samuel Barham et al.
31. **[Towards Effective Long-Form QA with Evidence Augmentation ↗](https://aclanthology.org/2023.gem-1.13/)**Mengxia Yu, Sara Rosenthal, Mihaela Bornea et al.
32. **[Unveiling Safety Vulnerabilities of Large Language Models ↗](https://aclanthology.org/2023.gem-1.10/)**George Kour, Marcel Zalmanovici, Naama Zwerdling et al.
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