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Cursor makes its biggest India push yet ahead of SpaceX acquisition with localized pricing4h◆Photonic reservoir computing with complex networks5h◆XS-VLA: Coupling Coarse-grained Spatial Distillation with Latent Flow Matching for Lightweight Robotic Control5h◆Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents5h◆Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks5h◆The One-Word Census: Answer-Choice Conformity Across 44 Language Models5h◆Creative Integration: A Decidable Criterion of Creativity5h◆BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi5h◆Joint Optimization for Greedy Longest-match Tokenization5h◆Kimi K3: Open Frontier Intelligence5h◆The Few-shot Dilemma: Over-prompting Large Language Models5h◆Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism5h◆Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram5h◆StageGuard: Physiologically Constrained Sleep Staging5h◆Soft-Constrained Optimization of Latent Space in Variational Autoencoders5h◆Beyond Error-vs-Discard Characteristic: Toward Stable and Reliable Evaluation for Face Image Quality Assessment5h◆Analyzing the Importance of Blank for CTC-Based Knowledge Distillation5h◆Predicting Channel Closures in the Lightning Network with Machine Learning5h◆Evaluation of Blood Vessel Segmentation Methods on Hard-to-Detect Vascular Structures5h◆MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback5h◆Cursor makes its biggest India push yet ahead of SpaceX acquisition with localized pricing4h◆Photonic reservoir computing with complex networks5h◆XS-VLA: Coupling Coarse-grained Spatial Distillation with Latent Flow Matching for Lightweight Robotic Control5h◆Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents5h◆Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks5h◆The One-Word Census: Answer-Choice Conformity Across 44 Language Models5h◆Creative Integration: A Decidable Criterion of Creativity5h◆BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi5h◆Joint Optimization for Greedy Longest-match Tokenization5h◆Kimi K3: Open Frontier Intelligence5h◆The Few-shot Dilemma: Over-prompting Large Language Models5h◆Speculative Pipeline Decoding: Higher-Accuracy Drafting with Hidden Latency via Pipeline Parallelism5h◆Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram5h◆StageGuard: Physiologically Constrained Sleep Staging5h◆Soft-Constrained Optimization of Latent Space in Variational Autoencoders5h◆Beyond Error-vs-Discard Characteristic: Toward Stable and Reliable Evaluation for Face Image Quality Assessment5h◆Analyzing the Importance of Blank for CTC-Based Knowledge Distillation5h◆Predicting Channel Closures in the Lightning Network with Machine Learning5h◆Evaluation of Blood Vessel Segmentation Methods on Hard-to-Detect Vascular Structures5h◆MOCA: A Transformer-based Modular Causal Inference Framework with One-way Cross-attention and Cutting Feedback5h◆
Tag

#transparency

4 articles tagged #transparency

arxiv1d agobullish

FrED: External Data Influence Estimation via Domain Knowledge Graph Grounding

arXiv:2607.21615v1 Announce Type: cross Abstract: The rapid deployment of generative AI has amplified the critical need for Training Data Attribution to ensure transparency and accountability. However, current parametric approaches require computationally prohibitive access to model weights, while s

#transparency#accountability#explainabilityRead on arxiv →
arxivJul 11bullish
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Theoria: Rewrite-Acceptability Verification over Informal Reasoning States

arXiv:2607.01223v3 Announce Type: replace-cross Abstract: When should an AI system's answer be trusted? Formal proof assistants offer certainty but cannot reach most of the problem distribution; scalar LLM judges offer coverage but produce opaque scores that cannot be audited after the fact and are

TH1 model#verification#proof#auditabilityRead on arxiv →
arxivJul 10bullish

DeepPySR -- A Symbolic Regression Framework with Dynamic Pruning, Pareto Selection, and Hierarchical Composition for Real-World Scientific Discovery

arXiv:2607.08150v1 Announce Type: new Abstract: Symbolic regression (SR) discovers analytical equations from data, yielding glass-box models with directly interpretable formulas, unlike black-box methods that rely on unstable post-hoc tools such as SHAP or LIME. This transparency is crucial in clini

DEPYSH4 models · +1#symbolic regression#interpretable models#benchmarkRead on arxiv →
arxivApr 21

Towards Intrinsic Interpretability of Large Language Models:A Survey of Design Principles and Architectures

arXiv:2604.16042v2 Announce Type: cross Abstract: While Large Language Models (LLMs) have achieved strong performance across many NLP tasks, their opaque internal mechanisms hinder trustworthiness and safe deployment. Existing surveys in explainable AI largely focus on post-hoc explanation methods t

#explainability#nlp#researchRead on arxiv →