GEM 2023: all accepted papers
- A Simple yet Efficient Ensemble Approach for AI-generated Text Detection ↗Harika Abburi, Kalyani Roy, Michael Suesserman et al.
- Adapting Pre-trained Generative Models for Extractive Question Answering ↗Prabir Mallick, Tapas Nayak, Indrajit Bhattacharya
- An Empirical Bayes Framework for Open-Domain Dialogue Generation ↗Jing Yang Lee, Kong Aik Lee, Woon Seng Gan
- Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs ↗Xue-Yong Fu, Md Tahmid Rahman Laskar, Cheng Chen et al.
- Automatic Evaluation of Generative Models with Instruction Tuning ↗Shuhaib Mehri, Vered Shwartz
- Automatic Reflection Generation for Peer-to-Peer Counseling ↗Emma O'neil, João Sedoc, Diyi Yang et al.
- ChatGPT as a Java Decompiler ↗Bradley Mcdanel, Zhanhao Liu
- Context and Literacy Aware Learnable Metric for Text Simplification ↗Jeongwon Kwak, Hyeryun Park, Kyungmo Kim et al.
- Dialogue Quality and Emotion Annotations for Customer Support Conversations ↗John Mendonca, Patrícia Pereira, Miguel Menezes et al.
- Effective Proxy for Human Labeling: Ensemble Disagreement Scores in Large Language Models for Industrial NLP ↗Wei Du, Laksh Advani, Yashmeet Gambhir et al.
- Elo Uncovered: Robustness and Best Practices in Language Model Evaluation ↗Meriem Boubdir, Edward Kim, Beyza Ermis et al.
- Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models ↗Joseph Marvin Imperial, Harish Tayyar Madabushi
- Formalizing content creation and evaluation methods for AI-generated social media content ↗Christian Jensen, Axel Højmark
- Harnessing the Plug-and-Play Controller by Prompting ↗Hao Wang, Lei Sha
- How well ChatGPT understand Malaysian English? An Evaluation on Named Entity Recognition and Relation ExtractionMohan Raj Chanthran, Lay-Ki Soon, Huey Fang Ong et al.our summary
- Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce ↗Jianghong Zhou, Bo Liu, Jhalak Acharya et al.
- Multi-domain Summarization from Leaderboards to Practice: Re-examining Automatic and Human Evaluation ↗David Demeter, Oshin Agarwal, Simon Ben Igeri et al.
- One-Shot and Few-Shot Exemplification Modeling ↗John Harvill, Hee Suk Yoon, Eunseop Yoon et al.
- PersonalityChat: Conversation Distillation for Personalized Dialog Modeling with Facts and Traits ↗Ehsan Lotfi, Maxime De Bruyn, Jeska Buhmann et al.
- Post Turing: Mapping the landscape of LLM Evaluation ↗Alexey Tikhonov, Ivan P. Yamshchikov
- Predicting Question-Answering Performance of Large Language Models through Semantic Consistency ↗Ella Rabinovich, Samuel Ackerman, Orna Raz et al.
- QAMPARI: A Benchmark for Open-domain Questions with Many Answers ↗Samuel Amouyal, Tomer Wolfson, Ohad Rubin et al.
- RankAug: Augmented data ranking for text classification ↗Tiasa Roy, Priyam Basu
- Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses ↗Xenia Ohmer, Elia Bruni, Dieuwke Hupkes
- Separating the Wheat from the Chaff with BREAD: An open-source benchmark and metrics to detect redundancy in text ↗Isaac Caswell, Lisa Wang, Isabel Papadimitriou
- Synthetic Dialogue Dataset Generation using LLM Agents ↗Yelaman Abdullin, Diego Molla, Bahadorreza Ofoghi et al.
- Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness ↗Valentin Barriere, Felipe del Rio, Andres Carvallo de Ferari et al.
- Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity ↗Joseph Gatto, Omar Sharif, Parker Seegmiller et al.
- To Burst or Not to Burst: Generating and Quantifying Improbable Text ↗Kuleen Sasse, Efsun Sarioglu Kayi, Samuel Barham et al.
- Towards Effective Long-Form QA with Evidence Augmentation ↗Mengxia Yu, Sara Rosenthal, Mihaela Bornea et al.
- Unveiling Safety Vulnerabilities of Large Language Models ↗George Kour, Marcel Zalmanovici, Naama Zwerdling et al.
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