Papers
Investigating Hallucinations in Simultaneous Machine Translation: Knowledge Distillation Solution and Components Analysis
Donglei Yu, Xiaomian Kang, Yuchen Liu et al.
Investigating Human Values in Online Communities
Nadav Borenstein, Arnav Arora, Lucie-Aimée Kaffee et al.
Investigating Large Language Models for Text-to-SPARQL Generation
Jacopo D’Abramo, Andrea Zugarini, Paolo Torroni
Investigating noun-noun compound relation representations in autoregressive large language models
Saffron Kendrick, Mark Ormerod, Hui Wang et al.
Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning
Venkatesh Mishra, Bimsara Pathiraja, Mihir Parmar et al.
Investigating the Transferability of Code Repair for Low-Resource Programming Languages
Kyle Wong, Alfonso Amayuelas, Liangming Pan et al.
Investigating the Zone of Proximal Development of Language Models for In-Context Learning
Peng Cui, Mrinmaya Sachan
Investigating User Perspectives on Differentially Private Text Privatization
Stephen Meisenbacher, Alexandra Klymenko, Alexander Karpp et al.
I only read it for the plot! Maturity Ratings Affect Fanfiction Style and Community Engagement
Mia Jacobsen, Ross Deans Kristensen-McLachlan
IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models
David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime et al.
Irony Detection in Hebrew Documents: A Novel Dataset and an Evaluation of Neural Classification Methods
Avi Shmidman, Elda Weizman, Avishay Gerczuk
Is a Peeled Apple Still Red? Evaluating LLMs’ Ability for Conceptual Combination with Property Type
Seokwon Song, Taehyun Lee, Jaewoo Ahn et al.
Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming
Zhenghao Zhou, Robert Frank, R. Thomas McCoy
Is It Navajo? Accurate Language Detection for Endangered Athabaskan Languages
Ivory Yang, Weicheng Ma, Chunhui Zhang et al.
Is Semantic Chunking Worth the Computational Cost?
Renyi Qu, Ruixuan Tu, Forrest Sheng Bao
“Is There Anything Else?”: Examining Administrator Influence on Linguistic Features from the Cookie Theft Picture Description Cognitive Test
Changye Li, Zhecheng Sheng, Trevor Cohen et al.
Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models
Chaoqun Liu, Wenxuan Zhang, Yiran Zhao et al.
Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness
Yoo Yeon Sung, Maharshi Gor, Eve Fleisig et al.
Is Your LLM Outdated? A Deep Look at Temporal Generalization
Chenghao Zhu, Nuo Chen, Yufei Gao et al.
ITALIC: An Italian Culture-Aware Natural Language Benchmark
Andrea Seveso, Daniele Potertì, Edoardo Federici et al.
Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities
Chung-En Sun, Xiaodong Liu, Weiwei Yang et al.
It Is Not Only the Negative that Deserves Attention! Understanding, Generation & Evaluation of (Positive) Moderation
Iman Jundi, Eva Maria Vecchi, Carlotta Quensel et al.
It’s about What and How you say it: A Corpus with Stance and Sentiment Annotation for COVID-19 Vaccines Posts on X/Twitter by Brazilian Political Elites
Lorena Barberia, Pedro Schmalz, Norton Trevisan Roman et al.
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models
Jiachen Ma, Yijiang Li, Zhiqing Xiao et al.