Research

Research, evidence gathering, literature, reports, investigation, and synthesis

skills in category: 21,385
pages available: 892

Security grades appear on each card once the skill has been scanned. Newly imported skills may briefly show without a grade until the backfill job runs.

Open in full browser

Browse research skills

Showing 11,953–11,976 of 21,385 skills

Drnoise Benchmarking Deep Research Agents In MisleADerived from arXiv:2607.17291 - DRNOISE: Benchmarking Deep Research Agents in Misleading Evidence EnvironmentsresearchVotes: 0GitHub stars: 3
Dendritic Gain Load Alignment PrincipleAGain-Load-Alignment Principle for Dendritic E/I Networks - Framework for understanding when branch-local shunting helps in neural population readout. Analyzes DendriNet architecture with varying integration rules, morphology, and synaptic allocation. Use when studying dendritic computation, shunting inhibition, population coding, or neural readout optimization.researchperformanceVotes: 0GitHub stars: 3
Deep Double DescentASkill for AI agent capabilitiesresearchpythongoVotes: 0GitHub stars: 3
Decoding Encoding Alignment CritiqueACritical analysis framework for brain-model alignment methods demonstrating that decoding-based similarity metrics (RSA, CKA, Procrustes) are insensitive to internal functional organization. Based on arXiv:2605.05907 (Bertram et al., 2026). Use when: (1) evaluating representational similarity analysis validity, (2) comparing neural systems across species or models, (3) designing encoding manifold analyses, (4) applying Gromov-Wasserstein distance for neural population comparison, (5) question...researchrustgoVotes: 0GitHub stars: 3
Contravariance Theory Strong Alignment MinimalAContravariance Theory methodology — formal proof that minimal DNN solutions to hard tasks exhibit strong alignment of privileged axes, with alignment "zipping" up the network hierarchy. Bridges NeuroAI convergent evolution theory and brain-DNN comparison methods.researchrustgoVotes: 0GitHub stars: 3
Collective Alignment Public InputAMethodology for incorporating public input into AI model alignment through large-scale surveys and democratic value aggregation.researchgoVotes: 0GitHub stars: 3
Auditing Llm As Judge Reliability Measurement ValidityATreats LLM-as-judge evaluator-replacement ambiguity as a measurement-validity problem. Judge upgrades are not interchangeable. Stronger judges reduce but don't remove position/verbosity bias. Proposes audit trails including dataset slices, bias probes, and error-dependence estimates. Activation: LLM-as-judge, evaluation reliability, measurement validity, evaluator bias, AI evaluation.researchrailsapiVotes: 0GitHub stars: 3
Arxiv 2609 08790v1 Evidence Grounded Retrieval For Investigation HuntA**arXiv ID:** 2609.08790v1 **Authors:** Akash Prakash, Boubakr Nour, Makan Pourzandi, Chadi Assi, Mourad Debbabi **URL:** http://arxiv.org/abs/2609.08790v1 **Utility Score:** 1.00researchVotes: 0GitHub stars: 3
Arxiv 2609 03901v1 Comparing Retrieval Methods For Academic Advisor DA**arXiv ID:** 2609.03901v1 **Authors:** Biraj Subedi **URL:** http://arxiv.org/abs/2609.03901v1 **Utility Score:** 1.00researchVotes: 0GitHub stars: 3
Arxiv 2608 20052 Decovae A Lightweight Interpretable Trend SeasonalADecoVAE: a Lightweight Interpretable Trend-Seasonal VAE Framework for Efficient Probabilistic Time Series Forecasting (arXiv: 2608.20052)researchgoVotes: 0GitHub stars: 3
Arxiv 2608 20025 Clast Context Aware Contrastive Vae For ProbabilisACLaST: Context-aware Contrastive VAE for Probabilistic Time Series Forecasting (arXiv: 2608.20025)researchgoexpressVotes: 0GitHub stars: 3
Arxiv 2608 20024 Systematic Evaluation Of Tabpfn Ts For Zero Shot PASystematic Evaluation of TabPFN-TS for Zero-Shot Probabilistic Heat Load Forecasting in District Heating Networks (arXiv: 2608.20024)researchgoVotes: 0GitHub stars: 3
Arxiv 2608 19936 Towards Quantifying Benchmark Optimization In AsrATowards Quantifying Benchmark Optimization in ASR Models (arXiv: 2608.19936)researchgoperformanceVotes: 0GitHub stars: 3
Arxiv 2608 19141v1 Geometric Iterative Retrieval For Neural Audio CodA**arXiv ID:** 2608.19141v1 **Authors:** Leo Schmidt-Traub, Frédéric Berdoz, Luca A. Lanzendörfer, Roger Wattenhofer **URL:** http://arxiv.org/abs/2608.19141v1 **Utility Score:** 1.00researchVotes: 0GitHub stars: 3
Anthropic Interviewer Qualitative ResearchALarge-scale qualitative research methodology using AI interviewer to conduct conversational interviews. Bridges depth-volume tradeoff in qualitative research, enabling massive-scale open-ended data collection.researchgoexpressVotes: 0GitHub stars: 3
Alignment Total Automation EconomyASkill derived from arXiv:2607.17015 - Alignment of a Total Automation EconomyresearchVotes: 0GitHub stars: 3
Ai Science BenchmarkingAMethodology for designing and evaluating AI scientific capabilities through domain-specific benchmarks. Covers BioMysteryBench design principles, multi-step reasoning evaluation, and human-expert comparison methodologies.researchgogitVotes: 0GitHub stars: 3
Ai Agents Really Complete Rtl Gds Lessons Benchmarking Tool Interactive Eda WorkflowsASkill derived from arXiv:2607.17528 - Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA WorkflowsresearchVotes: 0GitHub stars: 3
Advancing Red Teaming With People And AiASkill for AI agent capabilitiesresearchpythongoVotes: 0GitHub stars: 3
Accelerating Multiobjective Collaborative Optimization Of Doped Thermoelectric Materials Via Artificial IntelligenceA**arXiv ID:** 2504.08258 **Authors:** Yuxuan Zeng, Wenhao Xie, Wei Cao, Tan Peng, Yue Hou, Ziyu Wang, Jing Shi **Published:** 2025-04-11T05:10:18Z **Abstract:** The thermoelectric performance of materials exhibits complex nonlinear dependencies on both elemental types and their proportions, rendering traditional trial-and-error approaches inefficient and time-consuming for material discovery. In this work, we present a deep learning model capable of accurately predicting thermoelectric proper...researchgoperformanceVotes: 0GitHub stars: 3
A Large Scale Empirical Evaluation Of Mmao Under FASkill derived from arXiv paper 2606.31584: A Large-Scale Empirical Evaluation of MMAO Under Fair-Budget Continuous and Discrete BenchmarksresearchgoVotes: 0GitHub stars: 3
A Holistic Approach To Undesired Content DetectionASkill for AI agent capabilitiesresearchpythongoVotes: 0GitHub stars: 3
Nngpt Rethinking Automl LlmsANNGPT - Rethinking AutoML with LLMsresearchVotes: 0GitHub stars: 3
MemrlAMemRLresearchVotes: 0GitHub stars: 3