How I Prepared for a Data Science Interview at a Large Tech Company
kdnuggets.com·11h
λFunctional Programming
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Do Math Reasoning LLMs Help Predict the Impact of Public Transit Events?
arxiv.org·1d
λFunctional Programming
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Algorithmic Alchemy: Transmuting Dynamic Programming with Gradients by Arvind Sundararajan
λFunctional Programming
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Accumulating Context Changes the Beliefs of Language Models
arxiv.org·1d
🔍Parsers
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Fleming-VL: Towards Universal Medical Visual Reasoning with Multimodal LLMs
arxiv.org·1d
🐫OCaml
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Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization
arxiv.org·1d
λFunctional Programming
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Surfacing Subtle Stereotypes: A Multilingual, Debate-Oriented Evaluation of Modern LLMs
arxiv.org·1d
🔍Parsers
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DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection
arxiv.org·1d
🔍Parsers
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FedMGP: Personalized Federated Learning with Multi-Group Text-Visual Prompts
arxiv.org·1d
λFunctional Programming
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Show HN: rstructor, Pydantic+instructor for Rust
🐫OCaml
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Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
arxiv.org·23h
🐫OCaml
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Two-Parameter R\'enyi Information Quantities with Applications to Privacy Amplification and Soft Covering
arxiv.org·23h
🔍Parsers
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A Comparative Analysis of LLM Adaptation: SFT, LoRA, and ICL in Data-Scarce Scenarios
arxiv.org·1d
λFunctional Programming
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