Papers
Improving LLM’s Attachment to External Knowledge In Dialogue Generation Tasks Through Entity Anonymization
Hadi Sheikhi, Chenyang Huang, Osmar Zaiane
Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment
Eshaan Tanwar, Subhabrata Dutta, Manish Borthakur et al.
The ROOTS Search Tool: Data Transparency for LLMs
Aleksandra Piktus, Christopher Akiki, Paulo Villegas et al.
Everything you need to know about Multilingual LLMs: Towards fair, performant and reliable models for languages of the world
Sunayana Sitaram, Monojit Choudhury, Barun Patra et al.
Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
Gibbeum Lee, Volker Hartmann, Jongho Park et al.
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation
Xingdi Yuan, Tong Wang, Yen-Hsiang Wang et al.
Evaluating Reading Comprehension Exercises Generated by LLMs: A Showcase of ChatGPT in Education Applications
Changrong Xiao, Sean Xin Xu, Kunpeng Zhang et al.
RETUYT-InCo at BEA 2023 Shared Task: Tuning Open-Source LLMs for Generating Teacher Responses
Alexis Baladón, Ignacio Sastre, Luis Chiruzzo et al.
shs-nlp at RadSum23: Domain-Adaptive Pre-training of Instruction-tuned LLMs for Radiology Report Impression Generation
Sanjeev Kumar Karn, Rikhiya Ghosh, Kusuma P et al.
UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?
Junda Wang, Zonghai Yao, Avijit Mitra et al.
Extending an Event-type Ontology: Adding Verbs and Classes Using Fine-tuned LLMs Suggestions
Jana Straková, Eva Fučíková, Jan Hajič et al.
UMUTeam at SemEval-2023 Task 12: Ensemble Learning of LLMs applied to Sentiment Analysis for Low-resource African Languages
José Antonio García-Díaz, Camilo Caparros-laiz, Ángela Almela et al.
When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs)
Reto Gubelmann, Aikaterini-lida Kalouli, Christina Niklaus et al.
Distinguishing Fact from Fiction: A Benchmark Dataset for Identifying Machine-Generated Scientific Papers in the LLM Era.
Edoardo Mosca, Mohamed Hesham Ibrahim Abdalla, Paolo Basso et al.
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation
DaYou Du, Yijia Zhang, Shijie Cao et al.
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs
Yebowen Hu, Kaiqiang Song, Sangwoo Cho et al.
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis
Yueqi Xie, Minghong Fang, Renjie Pi et al.
FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability
Congying Xia, Chen Xing, Jiangshu Du et al.
Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving
Chenyang An, Zhibo Chen, Qihao Ye et al.
FineSurE: Fine-grained Summarization Evaluation using LLMs
Hwanjun Song, Hang Su, Igor Shalyminov et al.
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation
Zhaowei Wang, Wei Fan, Qing Zong et al.
EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs
Xiangyu Zhao, Bo Liu, Qijiong Liu et al.
Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games
Yizhe Zhang, Jiarui Lu, Navdeep Jaitly
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression
Huiqiang Jiang, Qianhui Wu, Xufang Luo et al.
Dissecting Human and LLM Preferences
Junlong Li, Fan Zhou, Shichao Sun et al.