SourceJul 7, 20262026-07-074 minVerified
Measuring LLM Emotion Interpretation Under Semantic Stress
A study examines how LLMs' emotion interpretation consistency can weaken under semantic stress in affective dialogue.
CommunityJul 7, 20262026-07-074 minVerified
How Question AIs Shift Search Toward Accuracy
Question-based AI speeds research, but answer accuracy and source verification remain critical for reliable work.
CommunityJul 6, 20262026-07-064 minVerified
How AI Shifts Skills, Tasks, and Learning
Drawing on OECD and ILO reports, this explains how AI reshapes tasks before jobs and shifts learning toward understanding and verification.
CommunityJul 4, 20262026-07-044 minVerified
How AI Changes Reading Without Replacing Understanding
AI-assisted reading can lower comprehension barriers, but heavy reliance on summaries may weaken deep thinking.
SourceJul 4, 20262026-07-043 minVerified
Training-Free Attribution for Long Document Multimodal QA
A look at MultAttnAttrib for long-document multimodal QA, covering attribution benefits, limits, and evaluation criteria.
SourceJul 3, 20262026-07-034 minVerified
Conditional Co-Ablation Reveals Hidden Backup Transformer Circuits
How CoAx exposes backup circuits that single ablation can miss due to self-repair in transformers.
SourceJul 3, 20262026-07-036 minVerified
Context Governance for Verifiable AI Agent Knowledge
How ContextNest frames context governance with a verifiable knowledge vault layer for auditable AI agents beyond retrieval quality.
SourceJul 3, 20262026-07-035 minVerified
Counterfactual Coaching From Latent Space in StarCraft II
A look at RL research using latent space to generate counterfactual feedback in StarCraft II and its coaching potential.
SourceJul 3, 20262026-07-034 minVerified
Where AI Meets Quantum Information in Practice
Reviewing where AI and quantum information already deliver practical gains, and why quantum ML advantage still needs caution.
CommunityJul 3, 20262026-07-034 minVerified
Why Foundational Learning Still Matters in the AI Era
AI can boost productivity but also amplify errors, making foundational learning essential for problem framing, verification, and judgment.
SourceJul 2, 20262026-07-024 minVerified
Bug Reproduction Tests as Signals for Code Agents
How code agents can use bug reproduction tests as diagnostic signals during patch generation, not just post-hoc checks.
SourceJul 2, 20262026-07-024 minVerified
Interpreting RAG Retrieval With Sparse Autoencoder Features
Explores using sparse autoencoders to disentangle dense RAG embeddings for interpretable retrieval analysis and steering.
SourceJul 2, 20262026-07-024 minVerified
Latent Space Control for Trustworthy LLM Behavior
From steering vectors to model calibrators, this paper frames latent-space intervention as a path to better LLM control and trust.
SourceJul 2, 20262026-07-023 minVerified
On-Device AI Security Across App, Model, and OS
A look at the main security risks in mobile on-device AI, focusing on attack surfaces across apps, models, and OS.
CommunityJul 2, 20262026-07-025 minVerified
Public AI Infrastructure: Distributed Access or Concentrated Scale
Examines distributed vs. concentrated public AI compute strategies and what they mean for sovereign AI capacity.
SourceJul 1, 20262026-07-013 minVerified
Why Generator Evaluator Consistency Matters In LLM Self-Review
Why LLM self-review should be judged by generator-evaluator consistency, not accuracy alone, in agent workflows.
CommunityJun 29, 20262026-06-295 minVerified
Model Distillation, API Control, and Sovereign AI Risks
How model distillation expands from efficiency to API cost, competitive training, and control over data and compute.
SourceJun 29, 20262026-06-294 minVerified
Translating Medical AI Explanations Into Clinical Workflow
How a speech-based cognitive impairment framework turns SHAP and linguistic features into clinical explanations for usability.
SourceJun 29, 20262026-06-294 minVerified
What Should LLM Unlearning Actually Remove Precisely
A position paper argues LLM unlearning should mean dataset-defined deletion, not output suppression or behavior editing.
SourceJun 28, 20262026-06-284 minVerified
Enforcing Agent Policies Beyond Prompt-Based Safety Guards
How formalized policies can deterministically govern agent tool calls beyond probabilistic prompt steering and filters.
SourceJun 28, 20262026-06-284 minVerified
Why Benchmarks Miss Much of LLM Performance
How single-run LLM benchmarks can miss usable performance, and why model choice, retries, and cost matter.
SourceJun 27, 20262026-06-274 minVerified
Why Agent Configs Need Deterministic Control Planes
Why reused coding agent config files can become an unmanaged control layer with security and operational risks.
SourceJun 26, 20262026-06-264 minVerified
Agent-Driven Iteration Loops for Industrial Recommender Systems
A look at AgentX and the shift from model changes to automating hypothesis, code, experiment, and analysis loops.
SourceJun 26, 20262026-06-263 minVerified
Emotion Vectors in Open LLMs and Behavior Control
Examines whether emotion vectors in open-weight LLMs are internal representations or merely correlated signals for behavior.