A pipeline extracts 1,416 human-annotated GPX tracks from Common Crawl to produce a multimodal geospatial dataset.
Multilingual machine translation with large language models: Empirical results and analysis
6 Pith papers cite this work. Polarity classification is still indexing.
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Generative video models exhibit emergent zero-shot capabilities across perception, manipulation, and basic reasoning tasks.
The survey organizes causes of hallucinations in MLLMs, reviews evaluation benchmarks and metrics, and outlines mitigation approaches plus open questions.
A comprehensive survey of PEFT algorithms for large models, covering their performance, overhead, applications, and real-world system implementations.
The paper surveys the origins, frameworks, applications, and open challenges of AI agents built on large language models.
A survey reviewing benchmark data contamination in LLMs, its impact on evaluation, and alternative assessment approaches.
citing papers explorer
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CC-GPX: Extracting High-Quality Annotated Geospatial Data from Common Crawl
A pipeline extracts 1,416 human-annotated GPX tracks from Common Crawl to produce a multimodal geospatial dataset.
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Video models are zero-shot learners and reasoners
Generative video models exhibit emergent zero-shot capabilities across perception, manipulation, and basic reasoning tasks.
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Hallucination of Multimodal Large Language Models: A Survey
The survey organizes causes of hallucinations in MLLMs, reviews evaluation benchmarks and metrics, and outlines mitigation approaches plus open questions.
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Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
A comprehensive survey of PEFT algorithms for large models, covering their performance, overhead, applications, and real-world system implementations.
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The Rise and Potential of Large Language Model Based Agents: A Survey
The paper surveys the origins, frameworks, applications, and open challenges of AI agents built on large language models.
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Benchmark Data Contamination of Large Language Models: A Survey
A survey reviewing benchmark data contamination in LLMs, its impact on evaluation, and alternative assessment approaches.