Papers
Zero-Shot Keyphrase Generation: Investigating Specialized Instructions and Multi-sample Aggregation on Large Language Models
Jayanth Mohan, Jishnu Ray Chowdhury, Tomas Malik et al.
Zero-Shot Strategies for Length-Controllable Summarization
Fabian Retkowski, Alexander Waibel
AAdaM at SemEval-2024 Task 1: Augmentation and Adaptation for Multilingual Semantic Textual Relatedness
Miaoran Zhang, Mingyang Wang, Jesujoba Alabi et al.
A Bayesian Quantification of Aporophobia and the Aggravating Effect of Low–Wealth Contexts on Stigmatization
Ryan Brate, Marieke Van Erp, Antal Van Den Bosch
Abdelhak at SemEval-2024 Task 9: Decoding Brainteasers, The Efficacy of Dedicated Models Versus ChatGPT
Abdelhak Kelious, Mounir Okirim
A Benchmark Suite of Japanese Natural Questions
Takuya Uematsu, Hao Wang, Daisuke Kawahara et al.
AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph
Zhaowei Wang, Haochen Shi, Weiqi Wang et al.
Accurate Knowledge Distillation via n-best Reranking
Hendra Setiawan
AceGPT, Localizing Large Language Models in Arabic
Huang Huang, Fei Yu, Jianqing Zhu et al.
A Closer Look at Claim Decomposition
Miriam Wanner, Seth Ebner, Zhengping Jiang et al.
A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning
Ruixin Hong, Hongming Zhang, Xinyu Pang et al.
ACLSum: A New Dataset for Aspect-based Summarization of Scientific Publications
Sotaro Takeshita, Tommaso Green, Ines Reinig et al.
A Comparison of Fine-Tuning and In-Context Learning for Clause-Level Morphosyntactic Alternation
Jim Su, Justin Ho, George Broadwell et al.
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models
Xingmeng Zhao, Ali Niazi, Anthony Rios
A Concise Survey of OCR for Low-Resource Languages
Milind Agarwal, Antonios Anastasopoulos
A Continued Pretrained LLM Approach for Automatic Medical Note Generation
Dong Yuan, Eti Rastogi, Gautam Naik et al.
Acoustic barycenters as exemplar production targets
Frederic Mailhot, Cassandra L. Jacobs
Actively Learn from LLMs with Uncertainty Propagation for Generalized Category Discovery
Jinggui Liang, Lizi Liao, Hao Fei et al.
Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarks
Chonghua Wang, Haodong Duan, Songyang Zhang et al.
AdaPT: A Set of Guidelines for Hyperbolic Multimodal Multilingual NLP
Ramit Sawhney, Shrey Pandit, Vishwa Shah et al.
ADaPT: As-Needed Decomposition and Planning with Language Models
Archiki Prasad, Alexander Koller, Mareike Hartmann et al.
Adapting Abstract Meaning Representation Parsing to the Clinical Narrative – the SPRING THYME parser
Jon Cai, Kristin Wright-Bettner, Martha Palmer et al.
Adapting Fake News Detection to the Era of Large Language Models
Jinyan Su, Claire Cardie, Preslav Nakov