Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
…Learning to Orchestrate Expert LLMs for Frontier Multimodal Scientific Reasoning 🧬 Scientific reasoning often requires reading complex figures, combining knowledge from different fields, and solving problems step by step. Different LLMs are…
…See at Github Related I tried this open-source platform to self-host LLMs, and it’s faster than I expected Self-hosting LLMs is faster than you think Jan A polished…
…A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMs Published on Jun 4 Submitted by Ashutosh Hathidara on Jun 12 SAP Authors: Ashutosh Hathidara , , , Abstract Parametric tool retrieval models show reduced…
…Related 7 things I wish I knew when I started self-hosting LLMs I've been self-hosting LLMs for quite a while now, and these are all of the things I…
LLMs and Almost Good Code
LLMs and Almost Good Code
LLMs won't break symmetric crypto
Using LLMs to secure source code
Measuring LLMs' ability to develop exploits
…Recasting Pretrained LLMs into Looped Latent Refinement Models Published on May 10 Submitted by TaekHyunPark on May 13 BIGDATA ANALYTICS ENGINEERING LAB, Pusan National University, Busan, Korea Authors: Taekhyun Park , , , Abstract LoopUS…
…Is Data the Real Bottleneck? (2026) LLM-Agnostic Semantic Representation Attack (2026) RLearner-LLM: Balancing Logical Grounding and Fluency in Large Language Models via Hybrid Direct Preference Optimization (2026) On the Effectiveness…
Papers arxiv:2605.27958 Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations Published on May 27 Submitted by Sachin Kumar on Jun 3 Authors: Abstract Linear…
…Towards LLMs That Adapt Continually Published on May 12 Submitted by Rishabh Tiwari on May 13 University of California, Berkeley Authors: Rishabh Tiwari , , Lakshya A Agrawal , , , , , , Abstract A fast-slow learning framework…
…Economic Perspective on Optimal Budget Allocation for LLMs Published on Jun 2 Submitted by XuWan on Jun 5 Peking University Authors: Xu Wan , , , , , , Abstract Inference-time scaling is enhanced through constrained optimization…
Developer Tools & Techniques Build Next-Gen Physical AI with Edge‑First LLMs for Autonomous Vehicles and Robotics NVIDIA TensorRT Edge‑LLM introduces support for MoEs, Cosmos Reason 2, and Qwen3-TTS/ASR…
