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Multi-Task vs. Single-Task ICR: Quantifying the High Sensitivity to Distractor Facts in Reasoning

October 29th, 2025

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The Tech Reckoning is Upon Us!@reckoning

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machine-learning #llm #llm-sensitivity #in-context-reasoning #contextual-knowledge #fine-tuned-llms #reckoning-algorithm #ft-icr #llm-benchmarking

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The Tech Reckoning is Upon Us!

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RECKONING Method: Bi-Level Optimization for Dynamic Knowledge Encoding and Robust Reasoning

The Tech Reckoning is Upon Us!

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RECKONING: Bi-Level Learning for Robust, Distractor-Resistant In-Context Reasoning in LLMs

The Tech Reckoning is Upon Us!

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Generalization and Robustness: RECKONING Excels on Longer Reasoning Chains Unseen During Training

The Tech Reckoning is Upon Us!

Oct 24, 2025

#ALGORITHMS

Distractor Robustness: RECKONING Significantly Outperforms FT-ICR in Reasoning Over Irrelevant Facts

The Tech Reckoning is Upon Us!

Oct 24, 2025

Multi-Task vs. Single-Task ICR: Quantifying the High Sensitivity to Distractor Facts in Reasoning

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Comments

TOPICS

THIS ARTICLE WAS FEATURED IN

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