MaVEn: An efficient hybrid multi-granular visual coding framework for large multimodal language models (MLLM)
The primary focus of existing multimodal large language models (MLLMs) is on the interpretation of single images, which restricts their ...
Tag: language
Benchmarking large language models in biomedical classification and named entity recognition: Assessing the impact of stimulus techniques and domain knowledge
LLM models are increasingly used in healthcare for tasks such as question answering and document summarization, with performance similar to ...
Tau AI Logic Language Update: A Look at the Future of AI Reasoning
Yeah is a logical ai engine that enables the creation of software and ai capable of fully mechanized reasoning, allowing ...
RAGLAB: A comprehensive AI framework for transparent and modular evaluation of augmented retrieval generation algorithms in natural language processing research
Recovery Augmented Generation (RAG) has faced significant challenges in its development, including a lack of comprehensive comparisons between algorithms and ...
Smooth processing of two-hour videos: This AI paper introduces LONGVILA, a breakthrough in deep context visual language models for long videos
The main challenge in developing advanced visual language models (VLMs) lies in enabling these models to effectively process and understand ...
ReALM: Reference Resolution as Language Modeling
Reference resolution is an important problem, essential for successfully understanding and handling contexts of different types. This context includes both ...
Formatron – A high-performance Python constrained decoding library that allows users to control the output format of language models with minimal overhead
Language models (LMs), while highly effective at generating human-like text, often produce unstructured and inconsistent results. The lack of structure ...
Understanding hallucination rates in language models: Insights from knowledge graph training and its detectability challenges
Language models (LMs) show better performance with larger training data and size, but the relationship between model scale and hallucinations ...
DeepSeek-AI Open-Sources DeepSeek-Prover-V1.5: A 7 Billion Parameter Language Model Outperforms All Open Source Models in Formal Theorem Proving in Lean 4
Large language models (LLMs) have made significant advances in mathematical reasoning and theorem proving, but they face considerable challenges in ...
Law master's students develop their own understanding of reality as they improve their language skills | MIT News
If you ask a large language model (LLM) like GPT-4 to smell a rain-soaked campsite, it will politely decline. If ...
Recommended.
