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Scoured 8040 posts in 11.1 ms
Self-Improvement of Large Language Models: A Technical Overview and Future Outlook  💬LLMs
arxiv.org·6d·
Transformers.js  💬NLP
huggingface.co·6d·
Tobias Osborne: Large Language Models - A Physicist's Perspective  💬LLMs
youtube.com·3d·
Variational Neurons in Transformers for Language Modeling  💬LLMs
arxiv.org·2d·
Spark-LLM-Eval: A Distributed Framework for Statistically Rigorous Large Language Model Evaluation  🧠LLM
arxiv.org·1d·
Towards Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models  ⚡Code Generation
arxiv.org·1d·
Transformers learn variable-order Markov chains in-context  🧠LLM
arxiv.org·2d·
Compressing Transformer Language Models via Matrix Product Operator Decomposition: A Case Study on PicoGPT  🧠LLM
arxiv.org·2d·
Sparse Auto-Encoders and Holism about Large Language Models  💬LLMs
arxiv.org·3d·
Preconditioned Attention: Enhancing Efficiency in Transformers  🧠LLM
arxiv.org·2d·
DAInfer+: Neurosymbolic Inference of API Specifications from Documentation via Embedding Models  🤖LLM Inference
arxiv.org·2d·
A Formal Framework for Uncertainty Analysis of Text Generation with Large Language Models  💬LLMs
arxiv.org·3d·
Can Large Language Models Simulate Human Cognition Beyond Behavioral Imitation?  💬LLMs
arxiv.org·2d·
On the Expressive Power of Contextual Relations in Transformers  🧠LLM
arxiv.org·3d·
Closing the Confidence-Faithfulness Gap in Large Language Models  💬LLMs
arxiv.org·6d·
Large Language Models for Software Testing Education: an Experience Report  🧠Context Engineering
arxiv.org·3d·
Beyond Content Safety: Real-Time Monitoring for Reasoning Vulnerabilities in Large Language Models  🛡️AI Safety
arxiv.org·6d·
Sketch2Simulation: Automating Flowsheet Generation via Multi Agent Large Language Models  ⚡Code Generation
arxiv.org·6d·
To Write or to Automate Linguistic Prompts, That Is the Question  ✍️Prompt Engineering
arxiv.org·6d·
Large Language Models as Optimization Controllers: Adaptive Continuation for SIMP Topology Optimization  💬LLMs
arxiv.org·6d·

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