Papers
Improving Readability Assessment with Ordinal Log-Loss
Ho Hung Lim, John Lee
Improving Repository-level Code Search with Text Conversion
Mizuki Kondo, Daisuke Kawahara, Toshiyuki Kurabayashi
Improving Socratic Question Generation using Data Augmentation and Preference Optimization
Nischal Ashok Kumar, Andrew Lan
Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries
Zeyu Zhang, Egoitz Laparra, Steven Bethard
Improving Transfer Learning for Early Forecasting of Academic Performance by Contextualizing Language Models
Ahatsham Hayat, Bilal Khan, Mohammad Hasan
Improving Word Sense Induction through Adversarial Forgetting of Morphosyntactic Information
Deniz Ekin Yavas, Timothée Bernard, Laura Kallmeyer et al.
In-Context Example Ordering Guided by Label Distributions
Zhichao Xu, Daniel Cohen, Bei Wang et al.
In-context Learning and Gradient Descent Revisited
Gilad Deutch, Nadav Magar, Tomer Natan et al.
In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax
Aaron Mueller, Albert Webson, Jackson Petty et al.
Incorporating Dialect Understanding Into LLM Using RAG and Prompt Engineering Techniques for Causal Commonsense Reasoning
Benedikt Perak, Slobodan Beliga, Ana Meštrović
Incorporating Exponential Smoothing into MLP: a Simple but Effective Sequence Model
JiqunChu JiqunChu, Zuoquan Lin
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.