Meta-Learning for Reasoning: Summary of RECKONING’s Superior Performance and Future Impact Post date October 28, 2025 Post author By The Tech Reckoning is Upon Us! Post categories In algorithms, bi-level-learning, distractor-robustness, in-context-reasoning, knowledge-encoding, llm-generalization, multi-hop-reasoning, reckoning-algorithm
Meta-Learning for Reasoning: Summary of RECKONING’s Superior Performance and Future Impact Post date October 28, 2025 Post author By The Tech Reckoning is Upon Us! Post categories In algorithms, bi-level-learning, distractor-robustness, in-context-reasoning, knowledge-encoding, llm-generalization, multi-hop-reasoning, reckoning-algorithm
Generalization and Robustness: RECKONING Excels on Longer Reasoning Chains Unseen During Training Post date October 24, 2025 Post author By The Tech Reckoning is Upon Us! Post categories In algorithms, ft-icr-baseline, gpt-2, in-context-reasoning, knowledge-encoding, model-generalization, multi-hop-reasoning, reckoning-algorithm
Evaluating Dynamic Knowledge Encoding: Experimental Setup for Multi-Hop Logical Reasoning Post date October 24, 2025 Post author By The Tech Reckoning is Upon Us! Post categories In clutrr-sg, gpt-2, knowledge-encoding, llm, llm-experiments, logical-reasoning, multi-hop-reasoning, reckoning-algorithm
RECKONING Method: Bi-Level Optimization for Dynamic Knowledge Encoding and Robust Reasoning Post date October 24, 2025 Post author By The Tech Reckoning is Upon Us! Post categories In bi-level-optimization, contextual-knowledge, gradient-descent, inference-process, knowledge-encoding, llm, llm-reasoning, reckoning-algorithm
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