Papers
6,952 papers found
ImgTrojan: Jailbreaking Vision-Language Models with ONE Image
Xijia Tao, Shuai Zhong, Lei Li et al.
Implementing Retrieval Augmented Generation Technique on Unstructured and Structured Data Sources in a Call Center of a Large Financial Institution
Syed Shariyar Murtaza, Yifan Nie, Elias Avan et al.
Improve Decoding Factuality by Token-wise Cross Layer Entropy of Large Language Models
Jialiang Wu, Yi Shen, Sijia Liu et al.
Improved Near-Duplicate Detection for Aggregated and Paywalled News-Feeds
Siddharth Tumre, Sangameshwar Patil, Alok Kumar
Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities
Minh Duc Chu, Zihao He, Rebecca Dorn et al.
Improving Consistency in LLM Inference using Probabilistic Tokenization
Ashutosh Sathe, Divyanshu Aggarwal, Sunayana Sitaram
Improving Data Annotation for Low-Resource Relation Extraction with Logical Rule-Augmented Collaborative Language Models
Xiyang Liu, Chunming Hu, Richong Zhang et al.
Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration
Jan Fillies, Adrian Paschke
Improving Model Evaluation using SMART Filtering of Benchmark Datasets
Vipul Gupta, Candace Ross, David Pantoja et al.
Improving Pre-trained Language Models with Knowledge Enhancement and Filtering Framework
Qi Zhao, Qi Song, Tian Xie et al.
Improving Retrospective Language Agents via Joint Policy Gradient Optimization
Xueyang Feng, Bo Lan, Quanyu Dai et al.
Improving Reward Models with Synthetic Critiques
Zihuiwen Ye, Fraser David Greenlee, Max Bartolo et al.
Improving Vietnamese-English Cross-Lingual Retrieval for Legal and General Domains
Toan Ngoc Nguyen, Nam Le Hai, Nguyen Doan Hieu et al.
IMRRF: Integrating Multi-Source Retrieval and Redundancy Filtering for LLM-based Fake News Detection
Dayang Li, Fanxiao Li, Bingbing Song et al.
Incepto@DravidianLangTech 2025: Detecting Abusive Tamil and Malayalam Text Targeting Women on YouTube
Luxshan Thavarasa, Sivasuthan Sukumar, Jubeerathan Thevakumar
In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation
Armel Randy Zebaze, Benoît Sagot, Rachel Bawden
In-Context Learning (and Unlearning) of Length Biases
Stephanie Schoch, Yangfeng Ji
In-Context Learning on a Budget: A Case Study in Token Classification
Uri Berger, Tal Baumel, Gabriel Stanovsky
In-Context Learning with Long-Context Models: An In-Depth Exploration
Amanda Bertsch, Maor Ivgi, Emily Xiao et al.
Incorporating Lexicon-Aligned Prompting in Large Language Model for Tangut–Chinese Translation
Yuxi Zheng, Jingsong Yu
Incremental Sentence Processing Mechanisms in Autoregressive Transformer Language Models
Michael Hanna, Aaron Mueller
INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages
Abhishek Kumar Singh, Vishwajeet Kumar, Rudra Murthy et al.
Induction Heads as an Essential Mechanism for Pattern Matching in In-context Learning
Joy Crosbie, Ekaterina Shutova
Inference Scaling for Bridging Retrieval and Augmented Generation
Youngwon Lee, Seung-won Hwang, Daniel F Campos et al.
Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models
Gleb Kuzmin, Neemesh Yadav, Ivan Smirnov et al.