Papers
Applying Contrastive Learning to Code Vulnerability Type Classification
Chen Ji, Su Yang, Hongyu Sun et al.
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation
Bar Iluz, Yanai Elazar, Asaf Yehudai et al.
A Probability–Quality Trade-off in Aligned Language Models and its Relation to Sampling Adaptors
Naaman Tan, Josef Valvoda, Tianyu Liu et al.
A Psycholinguistic Evaluation of Language Models’ Sensitivity to Argument Roles
Eun-Kyoung Rosa Lee, Sathvik Nair, Naomi Feldman
Arcee’s MergeKit: A Toolkit for Merging Large Language Models
Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi et al.
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?
Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe
Are ELECTRA’s Sentence Embeddings Beyond Repair? The Case of Semantic Textual Similarity
Ivan Rep, David Dukić, Jan Šnajder
Are Large Language Models Capable of Generating Human-Level Narratives?
Yufei Tian, Tenghao Huang, Miri Liu et al.
Are Large Language Models Consistent over Value-laden Questions?
Jared Moore, Tanvi Deshpande, Diyi Yang
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions
Qian Ruan, Ilia Kuznetsov, Iryna Gurevych
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!
Divya Patel, Pathik Patel, Ankush Chander et al.
Are Large Language Models (LLMs) Good Social Predictors?
Kaiqi Yang, Hang Li, Hongzhi Wen et al.
Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content?
Shenbin Qian, Constantin Orasan, Diptesh Kanojia et al.
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning
Mohammed Saidul Islam, Raian Rahman, Ahmed Masry et al.
Are LLMs Aware that Some Questions are not Open-ended?
Dongjie Yang, Hai Zhao
Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task
Markus Freitag, Nitika Mathur, Daniel Deutsch et al.
Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues
Deuksin Kwon, Emily Weiss, Tara Kulshrestha et al.
Are LLMs Good Annotators for Discourse-level Event Relation Extraction?
Kangda Wei, Aayush Gautam, Ruihong Huang
Are LLMs Good Zero-Shot Fallacy Classifiers?
Fengjun Pan, Xiaobao Wu, Zongrui Li et al.
Are modern neural ASR architectures robust for polysynthetic languages?
Eric Le Ferrand, Zoey Liu, Antti Arppe et al.
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback
Ju-Seung Byun, Jiyun Chun, Jihyung Kil et al.
Are there identifiable structural parts in the sentence embedding whole?
Vivi Nastase, Paola Merlo
Arewa NLP’s Participation at WMT24
Mahmoud Ahmad, Auwal Khalid, Lukman Aliyu et al.
Argument Relation Classification through Discourse Markers and Adversarial Training
Michele Luca Contalbo, Francesco Guerra, Matteo Paganelli