Papers
IndiBias: A Benchmark Dataset to Measure Social Biases in Language Models for Indian Context
Nihar Sahoo, Pranamya Kulkarni, Arif Ahmad et al.
IndiSentiment140: Sentiment Analysis Dataset for Indian Languages with Emphasis on Low-Resource Languages using Machine Translation
Saurabh Kumar, Ranbir Sanasam, Sukumar Nandi
Infrrd.ai at SemEval-2024 Task 7: RAG-based end-to-end training to generate headlines and numbers
Jianglong He, Saiteja Tallam, Srirama Nakshathri et al.
INGEOTEC at SemEval-2024 Task 10: Bag of Words Classifiers
Daniela Moctezuma, Eric Tellez, Jose Ortiz Bejar et al.
INGEOTEC at SemEval-2024 Task 1: Bag of Words and Transformers
Daniela Moctezuma, Eric Tellez, Mario Graff
Innovators at SemEval-2024 Task 10: Revolutionizing Emotion Recognition and Flip Analysis in Code-Mixed Texts
Abhay Shanbhag, Suramya Jadhav, Shashank Rathi et al.
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions
Yifan Wang, Yafei Liu, Chufan Shi et al.
Inspecting Soundness of AMR Similarity Metrics in terms of Equivalence and Inequivalence
Kyung Seo Ki, Bugeun Kim, Gahgene Gweon
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis
Kevin Scaria, Himanshu Gupta, Siddharth Goyal et al.
InstructEval: Systematic Evaluation of Instruction Selection Methods
Anirudh Ajith, Chris Pan, Mengzhou Xia et al.
Instructing Large Language Models to Identify and Ignore Irrelevant Conditions
Zhenyu Wu, Chao Shen, Meng Jiang
Instructional Fingerprinting of Large Language Models
Jiashu Xu, Fei Wang, Mingyu Ma et al.
Instruction-following Evaluation through Verbalizer Manipulation
Shiyang Li, Jun Yan, Hai Wang et al.
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
Jiashu Xu, Mingyu Ma, Fei Wang et al.
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