Papers
Improving Efficiency in Large Language Models via Extendable Block Floating Point Representation
Dongyang Li, Zeyang Li, Bosheng Liu et al.
Improving Explainability of Sentence-level Metrics via Edit-level Attribution for Grammatical Error Correction
Takumi Goto, Justin Vasselli, Taro Watanabe
Improving Factuality with Explicit Working Memory
Mingda Chen, Yang Li, Karthik Padthe et al.
Improving Fairness of Large Language Models in Multi-document Summarization
Haoyuan Li, Rui Zhang, Snigdha Chaturvedi
Improving In-context Learning Example Retrieval for Classroom Discussion Assessment with Re-ranking and Label Ratio Regulation
Nhat Tran, Diane Litman, Benjamin Pierce et al.
Improving Language and Modality Transfer in Translation by Character-level Modeling
Ioannis Tsiamas, David Dale, Marta R. Costa-jussà
Improving Large Language Model Confidence Estimates using Extractive Rationales for Classification
Jane Arleth dela Cruz, Iris Hendrickx, Martha Larson
Improving Low-Resource Morphological Inflection via Self-Supervised Objectives
Adam Wiemerslage, Katharina Von Der Wense
Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback
Yucheng Zhou, Lingran Song, Jianbing Shen
Improving MLLM’s Document Image Machine Translation via Synchronously Self-reviewing Its OCR Proficiency
Yupu Liang, Yaping Zhang, Zhiyang Zhang et al.
Improving Model Factuality with Fine-grained Critique-based Evaluator
Yiqing Xie, Wenxuan Zhou, Pradyot Prakash et al.
Improving Named Entity Recognition for Low-Resource Languages Using Large Language Models: A Ukrainian Case Study
Vladyslav Radchenko, Nazarii Drushchak
Improving Occupational ISCO Classification of Multilingual Swiss Job Postings with LLM-Refined Training Data
Ann-Sophie Gnehm, Simon Clematide
Improving Parallel Sentence Mining for Low-Resource and Endangered Languages
Shu Okabe, Katharina Hämmerl, Alexander Fraser
Improving Preference Extraction In LLMs By Identifying Latent Knowledge Through Classifying Probes
Sharan Maiya, Yinhong Liu, Ramit Debnath et al.
Improving Sentiment Analysis for Ukrainian Social Media Code-Switching Data
Yurii Shynkarov, Veronika Solopova, Vera Schmitt
Improving Table Retrieval with Question Generation from Partial Tables
Hsing-Ping Liang, Che-Wei Chang, Yao-Chung Fan
Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution’s Characteristics
Lorenzo Jaime Yu Flores, Ori Ernst, Jackie CK Cheung
Improving Word Alignment Using Semi-Supervised Learning
Zhongtao Miao, Qiyu Wu, Masaaki Nagata et al.
Incongruity-aware Tension Field Network for Multi-modal Sarcasm Detection
Jiecheng Zhang, C.L.Philip Chen, Shuzhen Li et al.
Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar
Andrew Gambardella, Takeshi Kojima, Yusuke Iwasawa et al.
In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning
Mykhailo Koshil, Matthias Feurer, Katharina Eggensperger
Incorporating Domain Knowledge into Materials Tokenization
Yerim Oh, Jun-Hyung Park, Junho Kim et al.
Increasing the Generalizability of Similarity-Based Essay Scoring Through Cross-Prompt Training
Marie Bexte, Yuning Ding, Andrea Horbach
IndicSynth: A Large-Scale Multilingual Synthetic Speech Dataset for Low-Resource Indian Languages
Divya V Sharma, Vijval Ekbote, Anubha Gupta