Evaluating Whether LLMs Can Reliably Connect the DOTs?

arXiv:2609.38406 · cs.CL · Submitted 2026-09-29 · Read on arXiv

cs.CL

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/BridgeAI-Lab/Narrative-Infilling

Terminology

• Consistency — 24× in this paper · explained in 3 episodes
• Benchmark — 21× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 9× in this paper
• Causal Reasoning — 6× in this paper · explained in 2 episodes
• Core — 5× in this paper · explained in 2 episodes
• Chain-of-Thought Prompting — 3× in this paper · explained in 2 episodes
• Evaluation Dimensions — 3× in this paper · explained in 3 episodes
• Failure Modes — 3× in this paper · explained in 3 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Generalization — 2× in this paper · explained in 13 episodes
• Institutional Review Board — 2× in this paper
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Causal Inference — 1× in this paper · explained in 4 episodes
• Contextual Understanding — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Efficient Training of Language Models to Fill in the Middle
• The price of debiasing automatic metrics in natural language evaluation
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• The Llama 3 Herd of Models
• Mistral 7B
• LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods
• 2 OLMo 2 Furious
• Self-Consistency Improves Chain of Thought Reasoning in Language Models
• Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

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