SourceJun 29, 20262026-06-293 minVerified
MMG-Pop Rethinks Social Popularity Prediction Across Platforms
MMG-Pop uses multimodal and temporal graph signals from Bluesky and Reddit to reassess social popularity prediction.
SourceJun 29, 20262026-06-294 minVerified
Ontology-Guided KGQA Cuts Noisy Multi-Hop Reasoning Paths
How ontology constraints reduce noisy paths in multi-hop KGQA and improve reasoning for complex queries.
SourceJun 27, 20262026-06-275 minVerified
Financial Recommendations Need Explainability Before Cross-Channel Linking
In financial recommendations, linking anonymous web sessions and logged-in app behavior requires explainability and privacy checks before performance gains.
SourceJun 27, 20262026-06-274 minVerified
NVC Constraints Shift LLM Safety Toward De-Escalation Quality
How prompt-level NVC constraints shift LLM safety from toxicity blocking to de-escalation quality, with key tradeoffs.
SourceJun 27, 20262026-06-274 minVerified
OpenFinGym Reframes How Financial AI Systems Are Evaluated
OpenFinGym shifts financial AI evaluation from single-task accuracy to workflow-level testing across prediction, trading, and risk.
CommunityJun 27, 20262026-06-274 minVerified
Physical AI Bottlenecks Start in Supply Chains
Physical AI commercialization depends less on demos than on chip supply, CoWoS packaging, and deployment infrastructure.
SourceJun 27, 20262026-06-275 minVerified
SBI Versus MCMC for Rapid Epidemiological Bayesian Inference
A comparison of SBI and MCMC in SECIR epidemiological models, focusing on posterior agreement, speed, and repeated use.
SourceJun 27, 20262026-06-274 minVerified
TGHE Rethinks Private Inference for Transaction Graphs
TGHE proposes private graph inference around reusable local structures instead of global graph-dependent costs.
CommunityJun 26, 20262026-06-264 minVerified
How Agentic AI Redefines Enterprise Coding Metrics Today
Enterprise AI value is shifting from single-response quality to long-running workflow execution and review gates.
CommunityJun 26, 20262026-06-265 minVerified
Model Release Control or De Facto Permit System
Examines whether government early access and company-gated previews are turning AI model launches into a de facto permit system.
SourceJun 26, 20262026-06-264 minVerified
Privacy Risks Shift From Models to Agent Operations
Why LLM agent privacy risks arise from data flows, memory, tools, logs, and delegated permissions in operation.
CommunityJun 26, 20262026-06-263 minVerified
Read AI Investment News by the Verbs First
AI investment news should be read through official verbs and numbers, not AGI narratives. Build, explore, and assess matter.
SourceJun 26, 20262026-06-263 minVerified
Rethinking Trust in Video Reasoning Under Visual Corruption
Examines the Blind Trust Problem in video reasoning and a reliability-based strategy for frame and tool selection.
SourceJun 26, 20262026-06-264 minVerified
Small Text Changes, Big Risks for NLP Guardrails
How meaning-preserving text substitutions can mislead classifiers and LLM guardrails, and what teams should measure first.
SourceJun 26, 20262026-06-263 minVerified
When AI Can Automate Psychology Experiments Reliably
How trustworthy is AI-run psychology automation? Focus on theory coding, data quality control, and replication limits.
CommunityJun 25, 20262026-06-254 minVerified
Can 3D Layout Plus AI Improve Animation Stability
Examines whether fixing 3D layout and pose before AI stylization improves animation stability, despite flicker and edit costs.
SourceJun 25, 20262026-06-254 minVerified
Autodata Reframes Synthetic Data as Agentic System Design
Autodata treats synthetic data as an agentic system, raising key questions on validation, leakage, and repeatability.
SourceJun 25, 20262026-06-254 minVerified
Automating Benchmarks for Neural Relational Reasoning Generalization
Why automated LLM-built benchmarks for relational reasoning need difficulty control, reliable answers, and bias checks.
CommunityJun 25, 20262026-06-254 minVerified
Beyond RAG for Domain-Specific LLM Decision Tasks
RAGBench and LegalBench show why enterprise LLM evaluation must separate retrieval quality from domain-specific judgment.
SourceJun 25, 20262026-06-255 minVerified
FlowR2A Reframes Planning as Reward-Conditioned Action Generation
FlowR2A reframes autonomous driving planning from scoring actions to learning reward-conditioned action distributions.
SourceJun 25, 20262026-06-254 minVerified
GUI Agents Must Stop at Sensitive Screens
Why GUI agents should hand control to users on sensitive screens, beyond task success alone.
CommunityJun 25, 20262026-06-253 minVerified
What INT8 ConvRot Actually Proves in Local Generation
Separates verified evidence from community impressions on INT8 ConvRot for local image and video generation workflows.
SourceJun 25, 20262026-06-254 minVerified
Lossy Memory Can Mislead Models With Confidence
Why lossy memory can be more dangerous than no memory, and what it means for long-term memory design in LLM agents.
SourceJun 25, 20262026-06-254 minVerified
Managing Release Loops in Continual LLM Evolution
A survey reframes continual learning for industrial LLMs as a closed-loop update and release operations problem.