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
Distractor Robustness: RECKONING Significantly Outperforms FT-ICR in Reasoning Over Irrelevant Facts Post date October 24, 2025 Post author By The Tech Reckoning is Upon Us! Post categories In algorithms, distractor-robustness, gpt-2, in-context-reasoning, knowledge-disentanglement, llm-generalization, reasoning, reckoning-algorithm
RECKONING: Reasoning through Dynamic Knowledge Encoding: Generalization to Real-World knowledge Post date October 24, 2025 Post author By The Tech Reckoning is Upon Us! Post categories In few-shot-learning, folio-dataset, gpt-3.5, llm, llm-generalization, multi-hop-reasoning, real-world-reasoning, reckoning-algorithm
Redefining Induction: Multi-Token vs. Next-Token on High-Quality LLM Data Post date July 23, 2025 Post author By Cosmological thinking: time, space and universal causation Post categories In ai-training, data-impact, deep-learning-insights, high-quality-data, induction-capability, llm-generalization, multi-token-prediction, next-token-task
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