#LLM
Curated coverage on «LLM»: releases, research, benchmarks, open-source.

DOGS Beats 9 Baseline Methods at Logo Generation Across Two Renderers
DOGS drops prompt rewriting: a GFlowNet samples a logo design graph and penalizes similarity to existing marks. The authors compared it with nine baseline methods.

LinSlot Teaches a Neural Network to Break a Scene Into Objects and Their Attributes Without Labels
The new LinSlot architecture finds objects and their attributes in images without labels, building on the linear representation hypothesis. The authors claim DCI…

OcuFlow Removes Eyeglass Glare in One Step and Wins 67.32% of Votes in a Blind Test
The OcuFlow authors built OcuBench, a benchmark of 11 470 images, and trained a model that removes eyeglass glare in a single step. In a blind survey it beat its…

Nullify Erases Knowledge From LLMs Without Retraining, Using Null-Space Vectors

CARing teaches LLMs to predict diagnoses: R@30 hits 46.52% on MIMIC-IV

Visible CoT Does Not Universally Improve SQL and pandas Code Generation, New Study Finds

D-SLR Replaces Truncated SVD With Three Decompositions and No Tuning

Phase-HDC trains a model with no optimizer history and stores 16–23x less than Adam
Phase-HDC replaces Adam's moments with a threshold on the current gradient and stores 16–23x less than float32 Adam. The cost: about five points of accuracy on…

IKNO for Navier–Stokes Stays Accurate Under Rotation, With 5.6x Fewer Parameters Than TFN
Researchers propose IKNO, a compact graph model whose predictions strictly follow coordinate rotations in 3D flows. It matches TFN accuracy with 5.6× fewer…

MoE Router Telemetry Leaks Fine-Tuning Data: Attack Gains 2.7–9.4 pp in Accuracy

80 Synthetic Dialogues Are Enough to Train Activation Probes for Gemma-3-27B, but Not Everywhere

Temporal Transformer for the CAN Bus Catches Anomalies Without Sharing Raw Data

Freezing the Decoder in KV-Cache Compression Saves 3x Memory but Doesn't Improve Accuracy

Three LLMs Follow Prompts for Stutters and Interruptions Poorly; Rules Do Better
The tau-Voice authors tested how three LLMs imitate disfluencies, interruptions and backchanneling in user simulators. A deterministic algorithm proved more…

Sociolinguistics Instead of LLM Judges: Testing User-Simulator Personas on 5 Agents
A pilot arXiv study defines simulator personas through measurable style parameters and checks them with stylometry on five customer-service agents.









