Hacker News with Generative AI: Reasoning

Mulberry: Empowering MLLM with o1-like Reasoning (arxiv.org)
In this work, we aim to develop an MLLM that understands and solves questions by learning to create each intermediate step of the reasoning involved till the final answer.

Artificial Intelligence, Reasoning, Research

3 points by Anon84 18 days ago | 0 comments

Coconut by Meta AI – Better LLM Reasoning with Chain of Continuous Thought? (aipapersacademy.com)
Large language models (LLMs) have demonstrated incredible reasoning abilities, penetrating an increasing number of domains in our lives.

Artificial Intelligence, Reasoning

362 points by TaurenHunter 18 days ago | 156 comments

Reimagining mathematics in a world of reasoning machines [video] (youtube.com)

Mathematics, Artificial Intelligence, Reasoning, Video

74 points by kentricon 29 days ago | 41 comments

Are LLMs capable of non-verbal reasoning? (arstechnica.com)
Processing in the "latent space" could help AI with tricky logical questions.

Generative AI, Artificial Intelligence, Reasoning

6 points by Netherland4TW 36 days ago | 0 comments

Phi-4: Microsoft's Newest Small Language Model Specializing in Complex Reasoning (microsoft.com)
Today we are introducing Phi-4, our 14B parameter state-of-the-art small language model (SLM) that excels at complex reasoning in areas such as math, in addition to conventional language processing.

Artificial Intelligence, Microsoft, Reasoning, Software

439 points by lappa 36 days ago | 143 comments

Training LLMs to Reason in a Continuous Latent Space (arxiv.org)
Large language models (LLMs) are restricted to reason in the "language space", where they typically express the reasoning process with a chain-of-thought (CoT) to solve a complex reasoning problem.

Generative AI, Machine Learning, Artificial Intelligence, Reasoning

283 points by omarsar 39 days ago | 114 comments

DeepThought-8B: A small, capable reasoning model (ruliad.co)
Today we're releasing DeepThought-8B, a small, capable AI reasoning model built on LLaMA-3.1 8B.

Artificial Intelligence, New Releases, Reasoning

134 points by AnhTho_FR 52 days ago | 104 comments

The Problem with Reasoners (notion.site)

Reasoning, Philosophy, Artificial Intelligence

32 points by lawrencechen 53 days ago | 2 comments

LLaVA-O1: Let Vision Language Models Reason Step-by-Step (arxiv.org)
Large language models have demonstrated substantial advancements in reasoning capabilities, particularly through inference-time scaling, as illustrated by models such as OpenAI's o1. However, current Vision-Language Models (VLMs) often struggle to perform systematic and structured reasoning, especially when handling complex visual question-answering tasks.

Computer Vision, Reasoning, Artificial Intelligence

177 points by lnyan 61 days ago | 32 comments

Reasonable Person Principle (cs.cmu.edu)
Everyone will be reasonable. Everyone expects everyone else to be reasonable. No one is special. Do not be offended if someone suggests you are not being reasonable.

Reasoning, Social Dynamics, Ethics

75 points by yamrzou 75 days ago | 69 comments

Detecting when LLMs are uncertain (thariq.io)
This post tries to explain the new reasoning techniques developed by XJDR in a new project called Entropix.

Generative AI, Artificial Intelligence, Reasoning

283 points by trq_ 85 days ago | 167 comments

Use Prolog to improve LLM's reasoning (shchegrikovich.substack.com)
On one side, LLMs show unseen capabilities in reasoning, but on the other - reasoning in LLMs is not ideal.

Reasoning, Programming Languages, Artificial Intelligence

378 points by shchegrikovich 96 days ago | 155 comments

Google is working on AI software with human-like reasoning ability (msn.com)

Artificial Intelligence, Google, Reasoning, Technology

4 points by TheAITalk 108 days ago | 0 comments

LLMs still can't reason like humans (freethink.com)
Imagine what would happen if you attempted the following experiment: First, place a washed, fresh tomato and an equally clean carrot on top of a normal kitchen plate. With one hand behind your back, flip the non-stick plate upside-down, inspecting the underside of the plate for marks. Now, slowly turn the plate right-side up and count the number of vegetables remaining on top. How many are on the plate?

Artificial Intelligence, Reasoning, Experimentation

3 points by Brajeshwar 110 days ago | 0 comments

Deductive Verification for Chain-of-Thought Reasoning in LLMs (arxiv.org)
Large Language Models (LLMs) significantly benefit from Chain-of-Thought (CoT) prompting in performing various reasoning tasks.

Generative AI, Artificial Intelligence, Reasoning, Computer Science

80 points by smooke 130 days ago | 20 comments

Inductive or deductive? Rethinking the fundamental reasoning abilities of LLMs (arxiv.org)

Generative AI, Reasoning, Artificial Intelligence

107 points by belter 138 days ago | 169 comments

OpenAI working on reasoning tech under code name 'Strawberry' (reuters.com)

OpenAI, Artificial Intelligence, Reasoning, Technology

69 points by AlexErrant 189 days ago | 19 comments

Claude uses hidden chain of thoughts to plan artifact use (ycombinator.com)

Artificial Intelligence, Reasoning, Planning

10 points by gradienthiker 194 days ago | 2 comments

Q*: Improving Multi-Step Reasoning for LLMs with Deliberative Planning (arxiv.org)