The paper delivers the first survey of abductive reasoning in LLMs, a unified two-stage taxonomy, a compact benchmark, and an analysis of gaps relative to deductive and inductive reasoning.
Detectiveqa: Evaluating long-context reasoning on detective novels.arXiv preprint arXiv:2409.02465
4 Pith papers cite this work. Polarity classification is still indexing.
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Many-shot CoT-ICL improves when demonstrations are ordered for smooth conceptual progression, with CDS delivering up to 5.42 percentage-point gains on math tasks using 64 examples.
MemoryAgentBench is a multi-turn benchmark covering four memory competencies, and current memory agents fail at selective forgetting and long-range understanding.
citing papers explorer
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Wiring the 'Why': A Unified Taxonomy and Survey of Abductive Reasoning in LLMs
The paper delivers the first survey of abductive reasoning in LLMs, a unified two-stage taxonomy, a compact benchmark, and an analysis of gaps relative to deductive and inductive reasoning.
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Many-Shot CoT-ICL: Making In-Context Learning Truly Learn
Many-shot CoT-ICL improves when demonstrations are ordered for smooth conceptual progression, with CDS delivering up to 5.42 percentage-point gains on math tasks using 64 examples.
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Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
MemoryAgentBench is a multi-turn benchmark covering four memory competencies, and current memory agents fail at selective forgetting and long-range understanding.
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