Trending Research
DoRA: Weight-Decomposed Low-Rank Adaptation
NVlabs/DoRA
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By employing DoRA, we enhance both the learning capacity and training stability of LoRA while avoiding any additional inference overhead.
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
epfllm/meditron
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Large language models (LLMs) can potentially democratize access to medical knowledge.
Ranked #1 on
Multiple Choice Question Answering (MCQA)
on MedMCQA
(Dev Set (Acc-%) metric)
Conditional Text Generation
Multiple Choice Question Answering (MCQA)
SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models
This paper presents the first conversational agent that supports the full generality of hybrid data access for large knowledge corpora, through a language we developed called SUQL (Structured and Unstructured Query Language).
OpenAgents: An Open Platform for Language Agents in the Wild
Language agents show potential in being capable of utilizing natural language for varied and intricate tasks in diverse environments, particularly when built upon large language models (LLMs).
EasyVolcap: Accelerating Neural Volumetric Video Research
Volumetric video is a technology that digitally records dynamic events such as artistic performances, sporting events, and remote conversations.
Advancing LLM Reasoning Generalists with Preference Trees
openbmb/eurus
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We introduce Eurus, a suite of large language models (LLMs) optimized for reasoning.
Hallucination of Multimodal Large Language Models: A Survey
By drawing the granular classification and landscapes of hallucination causes, evaluation benchmarks, and mitigation methods, this survey aims to deepen the understanding of hallucinations in MLLMs and inspire further advancements in the field.
Modeling Personalized Item Frequency Information for Next-basket Recommendation
HaojiHu/TIFUKNN
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NBR is in general more complex than the widely studied sequential (session-based) recommendation which recommends the next item based on a sequence of items.
Ranked #1 on
Next-basket recommendation
on TaFeng
Autonomous LLM-driven research from data to human-verifiable research papers
As AI promises to accelerate scientific discovery, it remains unclear whether fully AI-driven research is possible and whether it can adhere to key scientific values, such as transparency, traceability and verifiability.
OpenStreetView-5M: The Many Roads to Global Visual Geolocation
gastruc/osv5m
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Determining the location of an image anywhere on Earth is a complex visual task, which makes it particularly relevant for evaluating computer vision algorithms.
