GPQA
Emerging32papers using it
2025first seen
Dataset Card for GPQA GPQA is a multiple-choice, Q&A dataset of very hard questions written and validated by experts in biology, physics, and chemistry. When attempting questions out of their own domain (e.g., a physicist answers a chemistry question), these experts get only 34% accuracy, despite spending >30m with ful
Papers using GPQA (32)
- The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics AnalysisRethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity AsymmetryEvaluating and Mitigating LLM-as-a-judge Bias in Communication SystemsDecision Protocols in Multi-Agent Large Language Model ConversationsWhen LLMs Agree, Are They Right? Auditing Self-Consistency and Cross-Model Agreement as Confidence SignalsData Repetition Beats Data Scaling in Long-CoT Supervised Fine-TuningFocuSFT: Bilevel Optimization for Dilution-Aware Long-Context Fine-TuningNGM: A Plug-and-Play Training-Free Memory Module for LLMsApriel-Reasoner: RL Post-Training for General-Purpose and Efficient ReasoningSePO: Self-Evolving Prompt Agent for System Prompt OptimizationTERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought ReasoningBenchmark Illusion: Disagreement Among Llms And Its Scientific ConsequencesBudget-Aware Anytime Reasoning with LLM-Synthesized Preference DataDr.LLM: Dynamic Layer Routing in LLMsAutoBench: Automating LLM Evaluation through Reciprocal Peer AssessmentEAPO: Enhancing Policy Optimization with On-Demand Expert AssistanceCAC-CoT: Connector-Aware Compact Chain-of-Thought for Efficient Reasoning Data Synthesis Across Dual-System Cognitive TasksP3: Prompts Promote PromptingEfficient Model Development through Fine-tuning TransferGeneral-Reasoner: Advancing LLM Reasoning Across All DomainsInterleaved Reasoning for Large Language Models via Reinforcement
LearningEnigmata: Scaling Logical Reasoning in Large Language Models with
Synthetic Verifiable PuzzlesInference-Time Hyper-Scaling with KV Cache CompressionFractional Reasoning via Latent Steering Vectors Improves Inference Time
ComputeDeepPrune: Parallel Scaling without Inter-trace RedundancyMCTS-RAG: Enhancing Retrieval-Augmented Generation with Monte Carlo Tree
SearchReinforcing General Reasoning without VerifiersFrom Harm to Help: Turning Reasoning In-Context Demos into Assets for
Reasoning LMsReasoning with Sampling: Your Base Model is Smarter Than You ThinkCan LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM ReasoningINFERENCEDYNAMICS: Efficient Routing Across LLMs through Structured Capability and Knowledge ProfilingDancing with Critiques: Enhancing LLM Reasoning with Stepwise Natural
Language Self-Critique