self-consistency

Explore concepts like Self-Correct, Self-Refine, Self-Improve, Self-Contradict, Self-Play, and Self-Knowledge, alongside o1-like reasoning elevation🍓 and hallucination alleviation🍄.

Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models

CSC-SQL: Corrective Self-Consistency in Text-to-SQL via Reinforcement Learning

Zero-cost epistemic uncertainty quantification & hallucination detection for LLMs (90,000x faster than Semantic Entropy)

Black-box AI reliability certification via self-consistency sampling and conformal calibration

Capable, auditable coding that runs fully offline on a 16 GB machine. A verification-first layer (hard test execution, symbolic checking, agentic repair) that takes a local 7B to parity with its 671B teacher on verifiable tasks. MIT, pre-registered, reproducible.

The official PyTorch implementation for the Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence

KG-RAG + ToT + multi-agent LLMs for evidence-grounded QA with Neo4j and fine-tuning; reproducible medical case study & evaluation.

Object oriented package for solving self-consistent mean field theory of interacting lattice systems.

GenPark AI Agent Skill - Self-consistency sampling aggregator, majority voting consensus engine, and semantic clusterer for reasoning verification.

GenPark AI Agent Skill - Self-consistency sampling aggregator, majority voting consensus engine, and semantic clusterer for reasoning verification.

Self-Consistency majority voting engine aggregating multiple stochastic reasoning paths to extract high-confidence consensus solutions.

Multi-agent ensemble voting with Borda count, Condorcet analysis, and confidence-weighted majority resolution

Multi-agent ensemble voting with Borda count, Condorcet analysis, and confidence-weighted majority resolution

Self-Consistency majority voting aggregator computing consensus answers, confidence scores, and Shannon entropy

Self-Consistency majority voting engine aggregating multiple stochastic reasoning paths to extract high-confidence consensus solutions.

Self-Consistency majority voting aggregator computing consensus answers, confidence scores, and Shannon entropy

Prompt-engineering study on LLM math reasoning (GSM8K) and code generation (HumanEval): zero/few-shot, self-consistency, self-verification, and experiments on prompt quality, complexity, demonstrations, and diversity.

When more sampling stops helping: a reasoning model can generate a right answer long before it can pick one. The modal and correlation ceilings of test-time scaling, with paper, figures, and code (Bay & Yearick).

Perl implementation of Markov Chain for the course BIO331