Summary of Improving Domain-specific Asr with Llm-generated Contextual Descriptions, by Jiwon Suh et al.
Improving Domain-Specific ASR with LLM-Generated Contextual Descriptionsby Jiwon Suh, Injae Na, Woohwan JungFirst submitted to…
Summary of Inf-llava: Dual-perspective Perception For High-resolution Multimodal Large Language Model, by Yiwei Ma et al.
INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language Modelby Yiwei Ma, Zhibin Wang, Xiaoshuai Sun,…
Summary of Dstruct2design: Data and Benchmarks For Data Structure Driven Generative Floor Plan Design, by Zhi Hao Luo et al.
DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Designby Zhi Hao Luo,…
Summary of Odyssey: Empowering Minecraft Agents with Open-world Skills, by Shunyu Liu et al.
Odyssey: Empowering Minecraft Agents with Open-World Skillsby Shunyu Liu, Yaoru Li, Kongcheng Zhang, Zhenyu Cui,…
Summary of Allam: Large Language Models For Arabic and English, by M Saiful Bari et al.
ALLaM: Large Language Models for Arabic and Englishby M Saiful Bari, Yazeed Alnumay, Norah A.…
Summary of Rag-qa Arena: Evaluating Domain Robustness For Long-form Retrieval Augmented Question Answering, by Rujun Han et al.
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answeringby Rujun Han, Yuhao Zhang,…
Summary of Llms Left, Right, and Center: Assessing Gpt’s Capabilities to Label Political Bias From Web Domains, by Raphael Hernandes and Giulio Corsi
LLMs left, right, and center: Assessing GPT’s capabilities to label political bias from web domainsby…
Summary of Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies, by Chaofan Tao et al.
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabulariesby Chaofan Tao, Qian Liu, Longxu Dou,…
Summary of Bilingual Adaptation Of Monolingual Foundation Models, by Gurpreet Gosal et al.
Bilingual Adaptation of Monolingual Foundation Modelsby Gurpreet Gosal, Yishi Xu, Gokul Ramakrishnan, Rituraj Joshi, Avraham…
Summary of Grad-sum: Leveraging Gradient Summarization For Optimal Prompt Engineering, by Derek Austin et al.
GRAD-SUM: Leveraging Gradient Summarization for Optimal Prompt Engineeringby Derek Austin, Elliott ChartockFirst submitted to arxiv…