Papers
Instruction Tuning with Human Curriculum
Bruce W Lee, Hyunsoo Cho, Kang Min Yoo
Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF
Amey Hengle, Aswini Padhi, Sahajpreet Singh et al.
Interplay of Machine Translation, Diacritics, and Diacritization
Wei-Rui Chen, Ife Adebara, Muhammad Abdul-Mageed
Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains
Zijie Wang, Farzana Rashid, Eduardo Blanco
Interpreting User Requests in the Context of Natural Language Standing Instructions
Nikita Moghe, Patrick Xia, Jacob Andreas et al.
Introducing GenCeption for Multimodal LLM Benchmarking: You May Bypass Annotations
Lele Cao, Valentin Buchner, Zineb Senane et al.
Investigating Acceleration of LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with ‘LITE’
Neeraj Varshney, Agneet Chatterjee, Mihir Parmar et al.
Investigating Aspect Features in Contextualized Embeddings with Semantic Scales and Distributional Similarity
Yuxi Li, Emmanuele Chersoni, Yu-Yin Hsu
Investigating Data Contamination in Modern Benchmarks for Large Language Models
Chunyuan Deng, Yilun Zhao, Xiangru Tang et al.
Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models
Alireza Mohammadshahi, Jannis Vamvas, Rico Sennrich
Investigating radicalisation indicators in online extremist communities
Christine De Kock, Eduard Hovy
Investigating the Emergent Audio Classification Ability of ASR Foundation Models
Rao Ma, Adian Liusie, Mark Gales et al.
Investigating Web Corpus Filtering Methods for Language Model Development in Japanese
Rintaro Enomoto, Arseny Tolmachev, Takuro Niitsuma et al.
Investigating Wit, Creativity, and Detectability of Large Language Models in Domain-Specific Writing Style Adaptation of Reddit’s Showerthoughts
Tolga Buz, Benjamin Frost, Nikola Genchev et al.
IPED: An Implicit Perspective for Relational Triple Extraction based on Diffusion Model
Jianli Zhao, Changhao Xu, Bin. Jiang
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers
Harshit Gupta, Manav Chaudhary, Shivansh Subramanian et al.
IRIT-Berger-Levrault at SemEval-2024: How Sensitive Sentence Embeddings are to Hallucinations?
Nihed Bendahman, Karen Pinel-sauvagnat, Gilles Hubert et al.
IruMozhi: Automatically classifying diglossia in Tamil
Kabilan Prasanna, Aryaman Arora
ISDS-NLP at SemEval-2024 Task 10: Transformer based neural networks for emotion recognition in conversations
Claudiu Creanga, Liviu P. Dinu
ISEP_Presidency_University at MLSP 2024 Shared Task: Using GPT-3.5 to Generate Substitutes for Lexical Simplification
Benjamin Dutilleul, Mathis Debaillon, Sandeep Mathias
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning
Shivam Mhaskar, Nirmesh Shah, Mohammadi Zaki et al.
Is Prompt Transfer Always Effective? An Empirical Study of Prompt Transfer for Question Answering
Minji Jung, Soyeon Park, Jeewoo Sul et al.
Is Reference Necessary in the Evaluation of NLG Systems? When and Where?
Shuqian Sheng, Yi Xu, Luoyi Fu et al.
ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models
Anaïs Tack, Siem Buseyne, Changsheng Chen et al.