Seventy3

Feb 04 2025 131 ep. 15 mins 2

Seventy3 Podcast artwork

73播客，名字取材于Sheldon最喜欢的数字，内容由NotebookLM生成，每天跟随AI读AI业界论文。

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【第127期】隐式 PRM：过程奖励模型

Feb 04 2025 15 mins

Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。今天的主题是：Free Process Rewards without Process LabelsSummaryThis research paper proposes a cost-effective method for training process reward models (PRMs), which evaluate the intermediate steps of a reasoning process. Unlike existing PRMs requiring costly step-level labels, the authors demonst

【第126期】ICAL：VLM的上下文抽取学习

Feb 03 2025 17 mins

Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。今天的主题是：VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of ThoughtSummaryThis NeurIPS 2024 paper introduces In-Context Abstraction Learning (ICAL), a method that allows Vision-Language Models (VLMs) to learn from suboptimal demonstrations and human feedba

【第125期】GraphAgent：一种用于分析结构化（图形）和非结构化（文本）数据的自动化代理

Feb 02 2025 19 mins

Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。今天的主题是：GraphAgent: Agentic Graph Language AssistantSummaryThis paper introduces GraphAgent, a novel automated agent pipeline designed for analyzing both structured (graph) and unstructured (textual) data. GraphAgent uses three key agents: a Graph Generator Agent to create knowledge graphs f

【第124期】面向通用机器人控制的VLA模型

Feb 01 2025 18 mins

Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。今天的主题是：Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action ModelsSummaryThis research paper explores the creation of Vision-Language-Action (VLA) models for generalist robot control. The authors investigate key design choices in VLAs, including the selection o

【第123期】Cache-augmented generation (CAG)

Jan 31 2025 11 mins

Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。今天的主题是：Don't Do RAG: When Cache-Augmented Generation is All You Need for Knowledge TasksSummaryThis research paper introduces cache-augmented generation (CAG) as a more efficient alternative to retrieval-augmented generation (RAG) for knowledge-intensive tasks. CAG preloads all relevant kno

【第122期】HuatuoGPT-o1：医学推理大模型

Jan 30 2025 20 mins

Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。今天的主题是：HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMsSummaryThis research introduces HuatuoGPT-o1, a large language model (LLM) specialized for complex medical reasoning. The model is trained using a novel two-stage approach: first, a search-based strategy learns complex reasonin

【第121期】一种新型的蒙特卡罗符合性预测

Jan 29 2025 14 mins

Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。今天的主题是：Conformal prediction under ambiguous ground truthSummaryThis research paper proposes a novel Monte Carlo Conformal Prediction (CP) method to address uncertainty quantification in classification tasks with ambiguous ground truth labels. Standard CP methods often rely on "voted" labels

【第120期】iTransformer：Inverted Transformers理解时间序列问题

Jan 28 2025 9 mins

Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。今天的主题是：iTransformer: Inverted Transformers Are Effective for Time Series ForecastingSummaryThe paper introduces iTransformer, a novel architecture for time series forecasting that inverts the standard Transformer structure. Instead of embedding multiple variates at each timestamp, iTransfor

【第119期】DRT-o1：一种旨在改进包含明喻和隐喻句子翻译的新型神经机器翻译模型

Jan 27 2025 12 mins

Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。今天的主题是：DRT-o1: Optimized Deep Reasoning Translation via Long Chain-of-ThoughtSummaryThe paper introduces DRT-o1, a novel neural machine translation model designed to improve the translation of sentences containing similes and metaphors. DRT-o1 leverages a multi-agent framework to simulate e

【第118期】Mulberry：使用CoMCTS做类o1的多模态大模型

Jan 26 2025 11 mins

Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。今天的主题是：Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree SearchSummaryThis research paper introduces Mulberry, a series of multimodal large language models (MLLMs) designed for improved reasoning and reflection. The key innovation is CoMCTS, a n