Trending Research
A Survey on Large Language Model based Human-Agent Systems
Recent advances in large language models (LLMs) have sparked growing interest in building fully autonomous agents.
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition
NVIDIA/NeMo
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After re-examining the design choices for both the macro and micro-architecture of Conformer, we propose Squeezeformer which consistently outperforms the state-of-the-art ASR models under the same training schemes.
Ranked #38 on
Speech Recognition
on LibriSpeech test-clean
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
A Survey on Inference Engines for Large Language Models: Perspectives on Optimization and Efficiency
This paper provides a comprehensive evaluation of 25 open-source and commercial inference engines.
Learning Dynamics of LLM Finetuning
joshua-ren/learning_dynamics_llm
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Learning dynamics, which describes how the learning of specific training examples influences the model's predictions on other examples, gives us a powerful tool for understanding the behavior of deep learning systems.
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
AI is increasingly playing a pivotal role in transforming how scientific discoveries are made.
Adaptive In-conversation Team Building for Language Model Agents
ag2ai/ag2
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Leveraging multiple large language model (LLM) agents has shown to be a promising approach for tackling complex tasks, while the effective design of multiple agents for a particular application remains an art.
Sequential Models in the Synthetic Data Vault
sdv-dev/SDV
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After building the Sequential SDV, we used it to generate synthetic data and compared its quality against an existing, non-sequential generative adversarial network based model called CTGAN.
Do Large Language Models Need a Content Delivery Network?
lmcache/lmcache
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As the use of large language models (LLMs) expands rapidly, so does the range of knowledge needed to supplement various LLM queries.
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
We release LLM-AggreFact, code for data synthesis, and models.
Ranked #1 on
Fact Checking
on ^(#$!@#$)(()))******
Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
We present Skywork R1V2, a next-generation multimodal reasoning model and a major leap forward from its predecessor, Skywork R1V.
