CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching | ScienceToStartup | ScienceToStartup

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References (28)

[1]

Why Language Models Hallucinate

2025A. Kalai, Ofir Nachum et al.

[2]

Compressed Chain of Thought: Efficient Reasoning Through Dense Representations

2024Jeffrey Cheng, Benjamin Van Durme

[3]

CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models

Founder's Pitch

"CausalFlip enables large language models to improve causal reasoning beyond semantic pattern recognition through a novel benchmark."

Benchmarking•Score: 5•View PDF ↗

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CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching

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References (28)

Founder's Pitch

"CausalFlip enables large language models to improve causal reasoning beyond semantic pattern recognition through a novel benchmark."

Commercial Viability Breakdown

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CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching

BUILDER'S SANDBOX

Build This Paper

Recommended Stack

Startup Essentials

References (28)

Founder's Pitch

"CausalFlip enables large language models to improve causal reasoning beyond semantic pattern recognition through a novel benchmark."

Commercial Viability Breakdown

Related Papers

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