Enhancing language models for better Arabic dialect generation and cultural awareness.
Basel Mousi, Nadir Durrani, Fatema Ahmad
― 5 min read
Cutting edge science explained simply
Enhancing language models for better Arabic dialect generation and cultural awareness.
Basel Mousi, Nadir Durrani, Fatema Ahmad
― 5 min read
Exploring the GenSEC challenge to improve speech transcription accuracy.
Chao-Han Huck Yang, Taejin Park, Yuan Gong
― 4 min read
NVLM enhances AI's grasp of language and visuals for diverse tasks.
Wenliang Dai, Nayeon Lee, Boxin Wang
― 5 min read
A new method improves data selection for training language models.
Simon Yu, Liangyu Chen, Sara Ahmadian
― 9 min read
Investigating how AI agents reproduce scientific results through a new benchmark.
Zachary S. Siegel, Sayash Kapoor, Nitya Nagdir
― 6 min read
THaMES offers a framework to reduce hallucinations in language models.
Mengfei Liang, Archish Arun, Zekun Wu
― 5 min read
Efforts to detect misleading audio content created by technology are essential.
Peizhuo Liu, Li Wang, Renqiang He
― 6 min read
A method to enhance document comprehension using smaller models trained from larger ones.
Marcel Lamott, Muhammad Armaghan Shakir
― 5 min read
Robots improve task performance using Progressive Retrieval Augmented Generation.
Weiye Xu, Min Wang, Wengang Zhou
― 6 min read
New methods enhance translation accuracy and efficiency for multiple languages.
Yao-Fei Cheng, Hayato Futami, Yosuke Kashiwagi
― 6 min read
LOLA enhances communication by supporting over 160 languages efficiently.
Nikit Srivastava, Denis Kuchelev, Tatiana Moteu Ngoli
― 4 min read
Research shows recency bias enhances reading time predictions in language models.
Christian Clark, Byung-Doh Oh, William Schuler
― 6 min read
New methods aim to reduce inaccuracies in language models within information retrieval systems.
Maojia Song, Shang Hong Sim, Rishabh Bhardwaj
― 5 min read
A study on the effectiveness of automated evaluators for language models.
Guijin Son, Hyunwoo Ko, Hoyoung Lee
― 4 min read
PaperQA2 aids researchers in literature search and error detection.
Michael D. Skarlinski, Sam Cox, Jon M. Laurent
― 4 min read
Evaluating the impact of compression methods on language model performance.
Bishwash Khanal, Jeffery M. Capone
― 6 min read
A new framework enhances model performance by addressing feedback reliability.
Jianing Wang, Yang Zhou, Xiaocheng Zhang
― 6 min read
Researchers present Blind-VaLM, enhancing language models with visual knowledge efficiently.
Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune
― 6 min read
Semformer integrates planning into language models, improving accuracy and efficiency.
Yongjing Yin, Junran Ding, Kai Song
― 5 min read
Promptriever simplifies information retrieval by following user instructions.
Orion Weller, Benjamin Van Durme, Dawn Lawrie
― 5 min read
This research investigates using language models for simpler robot programming through natural language.
Chalamalasetti Kranti, Sherzod Hakimov, David Schlangen
― 7 min read
Learn how to evaluate and compare images effectively.
Gautier Dagan, Olga Loginova, Anil Batra
― 4 min read
This study assesses how QA models handle noise in input data.
Asir Saadat, Nahian Ibn Asad, Md Farhan Ishmam
― 6 min read
TRIM method reduces image tokens in multi-modal language models while maintaining performance.
Dingjie Song, Wenjun Wang, Shunian Chen
― 5 min read
An overview of keyword spotting technologies and their challenges with the Urdu language.
Syed Muhammad Aqdas Rizvi
― 6 min read
This research enhances knowledge transfer between Kinyarwanda and Kirundi using multilingual models.
Harish Thangaraj, Ananya Chenat, Jaskaran Singh Walia
― 5 min read
A new method improves the efficiency of fine-tuning language models.
Md Kowsher, Nusrat Jahan Prottasha, Prakash Bhat
― 5 min read
GenCRF enhances search query reformulation for better user intent accuracy.
Wonduk Seo, Haojie Zhang, Yueyang Zhang
― 6 min read
Attention-Seeker improves keyphrase extraction using self-attention maps from language models.
Erwin D. López Z., Cheng Tang, Atsushi Shimada
― 8 min read
Introducing CREAM, a framework for effective meeting summary evaluations without reference texts.
Ziwei Gong, Lin Ai, Harshsaiprasad Deshpande
― 5 min read
Exploring how LLMs improve reasoning across various data types.
Shengsheng Qian, Zuyi Zhou, Dizhan Xue
― 7 min read
This study evaluates how AI models align with human decision-making in healthcare.
Isaac Kohane
― 7 min read
Exploring new methods for improved time series forecasting using Wasserstein loss.
Andrei Chernov
― 6 min read
VERA enhances the accuracy and relevance of language model responses.
Nitin Aravind Birur, Tanay Baswa, Divyanshu Kumar
― 5 min read
Examining how fine-tuning affects safety in language models across various tasks.
Essa Jan, Nouar AlDahoul, Moiz Ali
― 5 min read
A new approach to enhance transparency in AI responses and decision-making.
Christos Fragkathoulas, Odysseas S. Chlapanis
― 7 min read
Cobweb/4L enhances how machines learn language using an efficient approach.
Xin Lian, Nishant Baglodi, Christopher J. MacLellan
― 5 min read
Discover how preference alignment improves text-to-speech systems for better user experiences.
Jinchuan Tian, Chunlei Zhang, Jiatong Shi
― 5 min read
A new method for improving Arabic LLMs using structured knowledge for better answers.
Muhammad Asif Ali, Nawal Daftardar, Mutayyaba Waheed
― 5 min read
The ARTICLE framework improves data quality in natural language processing through self-consistency.
Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya
― 6 min read