2026
10,645 articles · 134 days · 10 categories · avg 79 per day

Cox Regression Learns From Truncated Data Orders of Magnitude Faster Than EM
An arXiv paper proves that Cox regression can be trained efficiently on truncated and censored data with gradient methods. The speedup over EM is orders of…

CacheScope speeds up diffusion models by up to 3.57x and cuts LPIPS by 70%
CacheScope needs no fine-tuning. It finds the steps where caching is risky and computes them in full. On FLUX.1-dev, Wan2.1 and Open-Sora 1.2, it gives up to 3.57x…

AI Error in Estimating Hidden Solar Generation Rises from 0.104 to 0.185 kW
An arXiv study tested deep models on Ausgrid and Pecan Street data: daytime MAE is 0.185 kW for new homes vs 0.104 kW for known customers. Fine-tuning on five homes…

U4RASD Takes 1st Place at KnowledgeGraphEval-2026: 94.06 micro-F1 on Arabic

AXLE Method Primes Annotators' Own Experience Before Hate Speech Labeling: 104 People, 1,040 Ratings

perturber: a service with 68 text perturbations tests LLM robustness

GeopoliticalQA: bge-m3 Beats Commercial Embeddings on 5 525 Report-Based Questions

Qwen Picks What to Remember: Replay From a Frozen Model Reduces Forgetting
Researchers tested whether a language model can protect its own skills during fine-tuning. Generated replay reduces forgetting, and task selection works at 4B.

CLUE Builds an Event Ontology Without Experts in Three Steps: Embeddings, Clusters, Names
The CLUE framework combines verbal and semantic views of an event, clusters events with a contrastive loss, and names the types itself. The code is already open on…

OGPO Teaches VLA Models to Get Back on Track After a Failure, Without Online Fine-Tuning

Seq-Drifting Generates Text in a Single Pass: Perplexity of 36.01 on LM1B

CToM teaches LLMs to predict user replies and lifts accuracy to 79.6%

GeoSpatialBench Tests MLLMs on 28 Types of Spatial Relations Across Six Cities

LLM Pipeline Turns Datasheets into Knowledge Graphs with 98.8% Accuracy
A new pipeline builds hierarchical graphs from datasheets: 98.8% faithful properties versus 76.1% for a single-pass LLM query. Tested on 20 documents.

EvoSyn: Multi-Agent Data Synthesis Lifts Task Success by 13.3 Points
Researchers propose EvoSyn, a framework that reshapes the synthetic-data generation space based on student feedback and beats the strongest baseline by 13.3 points.

EliteTable Makes LLMs Evolve Controller Code: Gains in 6 of 6 Tasks
EliteTable pairs an LLM with a table of top solutions to search for agent-control code. Candidate medians rose on all six Gymnasium tasks, but Acrobot-v1 regressed.

Zebra3D speeds up 3D reconstruction by up to 7.1× on 1024 frames without training from scratch

SynAct Teaches LLM Agents to Ask for Help Where It Changes the Outcome: +11.7 pp

STAPLE adds billions of parameters to OLMo-2 and decodes twice as fast as MoE

MisVisAgentBench: Misleading Charts Cut Web Agent Success by 34 Percentage Points

Conversational Model Benchmark: GPT Realtime and Gemini Respond at Almost Every Pause
Researchers tested whether voice models can stay silent: on 427 pauses, APIs from OpenAI, Google and xAI almost always respond. Only Moshi and PersonaPlex hold back.

Linear Head on Qwen3-VL Beats GPT-4o at Scoring Answers Without Human Labels
A vision-language reward model with no human labels: a few thousand parameters on a frozen Qwen3-VL 32B beat GPT-4o on VL-RewardBench by 6.6 points.

ELR teaches one model to loop: Koi-4B scores 18 and 29

DCOCO speeds up LLM inference by up to 6.6x and beats rivals by 6–23%

SWE-Duel: Coding Agents Plant Bugs for Each Other, and GPT-5.5 Fixes 98.3%

Reward hacking spreads between AI agents: weak models infect strong ones

Beijing Moves to Calm A-Shares After Tech Selloff Over US Sanctions Fears
China's securities regulator, the CSRC, convened listed-company executives, brokers and fund managers in Beijing after a sharp tech-stock selloff driven by fears of…

DBS chief: market is reassessing AI investment risk and will tighten financing
The CEO of Southeast Asia's largest bank, Tan Su Shan, says the market is repricing AI buildout risk and lenders will become more selective.

Refactoring C++ in OpenBMC: How an AI Agent Fought a 280-Line Function
A developer asked an AI to help with OpenBMC's createSensors function, which crams 12 tasks into 280 lines. The agent proposed 7 concrete improvements and split the…

Runpod shows how to run diffusion models on JAX in GPU pods

Runpod Sponsors TreeHacks 2026: 36 Hours of GPU Compute at Stanford

RunPod Breaks Down 4 Quantization Methods: Going From FP16 to INT4 Cuts Memory 4x

















