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The Berkeley Crossword Solver

BAIR

We recently published the Berkeley Crossword Solver (BCS), the current state of the art for solving American-style crossword puzzles. The most recent version is the current top-performing system on crossword puzzles from The New York Times, achieving 99.7% Crosswords are challenging for humans and computers alike.

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UC Berkeley Researchers Introduce ThoughtSculpt: Enhancing Large Language Model Reasoning with Innovative Monte Carlo Tree Search and Revision Techniques

Marktechpost

The method has shown remarkable efficacy, achieving up to 30% improvement in story outline interestingness, 16% in crossword puzzle success, and 10% in concept coverage for generative tasks. Integrating Monte Carlo Tree Search with revision mechanisms allows for iterative refinement of outputs, enhancing decision-making processes.

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A New Compute Platform for Generative AI ?

TheSequence

The ML Behind the New York Times Crossword The New York Times shares some details of the hardwriting recognition models behind its famous crossworld puzzle —> Read more. . 🛠 Real World ML Ad Optimization at Pinterest Pinterest discusses the ML architecture powering its ad optimization infrastructure —> Read more.

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The NLP Cypher | 03.14.21

Towards AI

And it’s what we use when we do battle with a New York Times crossword puzzle, which requires different uses of word play, world knowledge and other linguistic artifacts. Because it requires models to have n-order logic. You can think of n-order logic as the Russian doll of logic, which is, logic nested within logic. accuracy ?

NLP 81
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The GenAI Frontier: 10 Transformative LLM Research Papers of 2023 from LLaMA to GPT-4

Topbots

Empirical experiments demonstrate ToT’s effectiveness on challenging tasks such as Game of 24, Creative Writing, and Crosswords. The inspiration for ToT comes from “dual process” models in human decision-making, where fast, automatic decisions (System 1) are complemented by slower, deliberate decisions (System 2).

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Advancing AI’s Cognitive Horizons: 8 Significant Research Papers on LLM Reasoning

Topbots

The authors also propose three new problems, Game of 24 , Creative Writing , and Crosswords , that require deductive, mathematical, commonsense, and lexical reasoning abilities. This integration facilitates a structured exploration of the tree of thoughts, incorporating both forward planning and the option to backtrack as necessary.

LLM 59
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New AI Models to summarize audio and video for any use case

AssemblyAI

And can you kind of exercise your neurons into better memory through crossword puzzles or deeper relationships or anything like that? It is something that you can hopefully address again, be involved in your brain health. - Can diet help us to avoid memory loss? Exercise the diet. Sleep and stress and learning new things is also helpful.