Papers
IgnitionInnovators at “Discharge Me!”: Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh
iHealth-Chile-1 at RRG24: In-context Learning and Finetuning of a Large Multimodal Model for Radiology Report Generation
Diego Campanini, Oscar Loch, Pablo Messina et al.
iHealth-Chile-3&2 at RRG24: Template Based Report Generation
Oscar Loch, Pablo Messina, Rafael Elberg et al.
II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering
Jihyung Kil, Farideh Tavazoee, Dongyeop Kang et al.
IITRoorkee@SMM4H 2024 Cross-Platform Age Detection in Twitter and Reddit Using Transformer-Based Model
Thadavarthi Sankar, Dudekula Suraj, Mallamgari Reddy et al.
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning
Abhinav Joshi, Shounak Paul, Akshat Sharma et al.
imapScore: Medical Fact Evaluation Made Easy
Huimin Wang, Yutian Zhao, Xian Wu et al.
IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction
Inna Lin, Ashish Sharma, Christopher Rytting et al.
IMGTB: A Framework for Machine-Generated Text Detection Benchmarking
Michal Spiegel, Dominik Macko
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models
Tao Feng, Lizhen Qu, Zhuang Li et al.
Impact of Decoding Methods on Human Alignment of Conversational LLMs
Shaz Furniturewala, Kokil Jaidka, Yashvardhan Sharma
Impacts of Misspelled Queries on Translation and Product Search
Greg Hanneman, Natawut Monaikul, Taichi Nakatani
Implanting LLM’s Knowledge via Reading Comprehension Tree for Toxicity Detection
Hankun Kang, Tieyun Qian
ImplicaTR: A Granular Dataset for Natural Language Inference and Pragmatic Reasoning in Turkish
Mustafa Halat, Ümit Atlamaz
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction
Henry Peng Zou, Vinay Samuel, Yue Zhou et al.
Improving Attributed Text Generation of Large Language Models via Preference Learning
Dongfang Li, Zetian Sun, Baotian Hu et al.
Improving Authorship Privacy: Adaptive Obfuscation with the Dynamic Selection of Techniques
Hemanth Kandula, Damianos Karakos, Haoling Qiu et al.
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment
Janghwan Lee, Seongmin Park, Sukjin Hong et al.
Improving Event Definition Following For Zero-Shot Event Detection
Zefan Cai, Po-Nien Kung, Ashima Suvarna et al.
Improving Grammatical Error Correction via Contextual Data Augmentation
Yixuan Wang, Baoxin Wang, Yijun Liu et al.
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning
Jingbiao Mei, Jinghong Chen, Weizhe Lin et al.
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis
Hongling Xu, Qianlong Wang, Yice Zhang et al.
Improving Language Models for Emotion Analysis: Insights from Cognitive Science
Constant Bonard, Gustave Cortal
Improving Language Models Trained on Translated Data with Continual Pre-Training and Dictionary Learning Analysis
Sabri Boughorbel, Md Rizwan Parvez, Majd Hawasly
Improving Large Language Models in Event Relation Logical Prediction
Meiqi Chen, Yubo Ma, Kaitao Song et al.