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
Evaluating Systematic Generalization: The Use of ProofWriter and CLUTRR-SG in LLM Reasoning Research Post date October 28, 2025 Post author By The Tech Reckoning is Upon Us! Post categories In clutrr-sg, llm, llm-benchmarking, llm-benchmarks, logical-reasoning, multi-hop-reasoning, systematic-generalization, what-is-proofwriter
The Prompt Patterns That Decide If an AI Is “Correct” or “Wrong” Post date August 27, 2025 Post author By Large Models (dot tech) Post categories In ai-critique-benchmark, benchmarking-ai-performance, critical-thinking-in-ai, criticbench-benchmark, llm-benchmarking, machine-learning-evaluation, model-evaluation-framework, natural-language-processing
Why “Almost Right” Answers Are the Hardest Test for AI Post date August 27, 2025 Post author By Large Models (dot tech) Post categories In ai-critique-benchmark, benchmarking-ai-performance, critical-thinking-in-ai, criticbench-benchmark, llm-benchmarking, machine-learning-evaluation, model-evaluation-framework, natural-language-processing
Why CriticBench Refuses GPT & LLaMA for Data Generation Post date August 27, 2025 Post author By Large Models (dot tech) Post categories In ai-critique-benchmark, benchmarking-ai-performance, critical-thinking-in-ai, criticbench-benchmark, llm-benchmarking, machine-learning-evaluation, model-evaluation-framework, natural-language-processing
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