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arXiv:2505.24379v3 Announce Type: replace-cross Abstract: Large Language Models are typically trained on datasets collected from the web, which may inadvertently...
arXiv:2510.19172v1 Announce Type: new Abstract: LLMs often fail to handle temporal knowledge conflicts–contradictions arising when facts evolve over time within...
Anthrogen has introduced Odyssey, a family of protein language models for sequence and structure generation, protein editing, and conditional design....
arXiv:2510.18257v1 Announce Type: new Abstract: Prompt Optimization has emerged as a crucial approach due to its capabilities in steering Large...
arXiv:2510.18455v1 Announce Type: new Abstract: Retrieval Augmented Generation (RAG) systems are increasingly vital in dynamic domains like online gaming, yet...
arXiv:2505.21657v5 Announce Type: replace Abstract: Large Language Models (LLMs) such as GPT, LLaMA, and Claude achieve remarkable performance in text...
arXiv:2510.05092v3 Announce Type: replace-cross Abstract: Finetuning (pretrained) language models is a standard approach for updating their internal parametric knowledge and...
arXiv:2510.18288v1 Announce Type: new Abstract: Braille plays a vital role in education and information accessibility for visually impaired individuals. However,...
arXiv:2510.12997v2 Announce Type: replace-cross Abstract: Test-time scaling has enabled Large Language Models (LLMs) with remarkable reasoning capabilities, particularly in mathematical...
Cyberscammers are bypassing banks’ security with illicit tools sold on Telegram
Customizing Speech Recognition Model with Large Language Model Feedback
Curved Inference: Concern-Sensitive Geometry in Large Language Model Residual Streams
Cursor Open-Sources Mixture-of-Kittens (MoK): A Deterministic MoE Training Megakernel for GB300 NVL72 Racks
Cursor Introduces a TypeScript SDK for Building Programmatic Coding Agents With Sandboxed Cloud VMs, Subagents, Hooks, and Token-Based Pricing
CURE: A Reinforcement Learning Framework for Co-Evolving Code and Unit Test Generation in LLMs
CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions
CUP (Common Useful Python): Building Reliable Python Workflows with Baidu’s Utility Toolkit
CubeBench: Diagnosing Interactive, Long-Horizon Spatial Reasoning Under Partial Observations
CTISum: A New Benchmark Dataset For Cyber Threat Intelligence Summarization
