The Strength of Dynamic Encoding: RECKONING Outperforms Zero-Shot GPT-3.5 in Distractor Robustness Post date October 29, 2025 Post author By The Tech Reckoning is Upon Us! Post categories In dynamic-encoding, gpt-3.5, knowledge-disentanglement, large-language-models, llms, multi-hop-reasoning, reckoning-algorithm, zero-shot-performance
Ablation Study Confirms Necessity of Dynamic Rates for RECKONING Performance Post date October 29, 2025 Post author By The Tech Reckoning is Upon Us! Post categories In adaptive-learning-rate, algorithms, bi-level-optimization, dynamic-hyperparameters, meta-learning, multi-hop-reasoning, reckoning-algorithm, reckoning-framework
Technical Setup for RECKONING: Inner Loop Gradient Steps, Learning Rates, and Hardware Specification Post date October 29, 2025 Post author By The Tech Reckoning is Upon Us! Post categories In adamw-optimizer, algorithms, bi-level-optimization, gpt-2-base, reckoning, reckoning-algorithm, transformer-training, transformers
Multi-Task vs. Single-Task ICR: Quantifying the High Sensitivity to Distractor Facts in Reasoning Post date October 29, 2025 Post author By The Tech Reckoning is Upon Us! Post categories In contextual-knowledge, fine-tuned-llms, ft-icr, in-context-reasoning, llm, llm-benchmarking, llm-sensitivity, 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
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
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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