Summary of Navigating the Labyrinth: Evaluating and Enhancing Llms’ Ability to Reason About Search Problems, by Nasim Borazjanizadeh et al.
Navigating the Labyrinth: Evaluating and Enhancing LLMs’ Ability to Reason About Search Problems
by Nasim Borazjanizadeh, Roei Herzig, Trevor Darrell, Rogerio Feris, Leonid Karlinsky
First submitted to arxiv on: 18 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The recent advancements in Large Language Models (LLMs) have been impressive in math and reasoning benchmarks. However, they still struggle with logic problems and puzzles that are relatively easy for humans. The authors introduce a new benchmark called SearchBench, which contains 11 unique search problem types, each equipped with automated pipelines to generate an arbitrary number of instances and analyze the feasibility, correctness, and optimality of LLM-generated solutions. They show that even the most advanced LLMs fail to solve these problems end-to-end in text, and that instructing them to generate code that solves the problem only slightly improves their performance. Instead, they propose a Multi-Stage-Multi-Try method, which breaks down the algorithm implementation into two stages and verifies the first stage against unit tests. This approach raises GPT-4’s performance above 57%. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large Language Models (LLMs) have gotten really good at some math problems, but they still struggle with others that are easy for humans. To help them get better, researchers created a new set of problems called SearchBench. These problems require LLMs to think about multiple ways to solve the problem and try different approaches. The researchers found that even the best LLMs can’t solve these problems on their own, but they do a little better if they’re given some help and guidance. |
Keywords
» Artificial intelligence » Gpt
