#Research
Curated coverage on «Research»: releases, research, benchmarks, open-source.
Moonshot Releases WorldVQA: 3500 Questions About the World That Trip Up Models
The Kimi team published WorldVQA, a benchmark of 3500 image-question pairs. On rare objects, top multimodal models often fall short of 50% accuracy.
Kimi releases PerceptionBench: none of 16 MLLMs reaches 60%
Moonshot released a 3000-question benchmark where the answer is visible to the eye. None of 16 top multimodal models scored 60%, and hallucinations are the weakest…
LabBuilder Turns an Experiment Description into a Safe 3D Lab
A team at ICML 2026 introduced LabBuilder, a system that builds a safety-aware 3D lab layout from the text of an experiment protocol. The authors name three gaps in…
CoRE Teaches AI to Choose Its Own Knowledge-Base Retrieval Rules Without Labeled Data
Xiamen University's FlowMAS Teaches Teams of AI Agents to Assign Their Own Roles
Hefei Startup Raises Tens of Millions to Turn Mega-Facilities into 3D Data for AI
Stanford Posts Pavone's Stereo Vision Lecture: AA274A Course and a Free Textbook
Google DeepMind Launches AI Agent to Hunt for Antimicrobial Peptides Among Millions of Proteins
DeepMind has shown an agent that sifts through millions of protein sequences and selects antimicrobial peptide candidates for experimental testing.
MTEdit: 500 thousand editing trajectories teach models not to lose quality over 8 steps
Researchers built MTEdit, a dataset of 500 thousand multi-step image edits, and fine-tuned Qwen-Image-Edit to the best result among open models.
OfficeTown Simulates 23 Organizations and Trains Agents for Office Work on 406 Tasks
MARS Transfers Text-Based Refusal to Video and Images Without Data: A Test on 5 MLLMs
Conditional Program shrinks DeepSeek's n-gram memory from 203 to 51 GB at 2 bits
ERB: AI Agents Build Their Own Model Tests and Match the Reference Benchmarks in 75% of Pairs
SpecTr-GBV at EMNLP 2026 Combines Multi-Draft and Block Verification to Speed Up LLMs
An EMNLP 2026 paper proposes SpecTr-GBV, which combines multi-draft checking and block verification in a single scheme to cut LLM inference latency.
New Survey Maps AI in Humanitarian Work: Six Tasks, From Weather to Refugees
A survey on Hugging Face Daily Papers describes AI as a tool for six humanitarian tasks: weather forecasting, energy, forests, poverty, post-disaster damage and…