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PaSa

PaSa is an advanced academic paper search agent driven by large language models, capable of autonomous decision-making and obtaining accurate results.

CommonProductEducationAcademic SearchLarge Language Models

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PaSa is an advanced academic paper search agent developed by ByteDance, based on large language model (LLM) technology. It can autonomously invoke search tools, read papers, and filter relevant references to obtain comprehensive and accurate results for complex academic queries. This technology is optimized through reinforcement learning, trained using the synthetic dataset AutoScholarQuery, and has shown outstanding performance on the real-world query dataset RealScholarQuery, significantly outperforming traditional search engines and GPT-based methods. The main advantages of PaSa lie in its high recall and precision rates, providing researchers with a more efficient academic search experience.

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PaSa Visit Over Time

Monthly Visits

492133528

Bounce Rate

36.20%

Page per Visit

6.1

Visit Duration

00:06:33

PaSa Visit Trend

PaSa Visit Geography

PaSa Traffic Sources

PaSa Alternatives

PaSa — PaSa is an advanced academic paper search agent driven by large language models, capable of autonomous decision-making and obtaining accurate results.

Education

•Academic Search•Large Language Models

762

Models Table — A comprehensive list and information about large language models

Others

•Large Language Models•Machine Learning

366

Search-R1 — A highly efficient reinforcement learning framework for training language models that perform reasoning and call search engines.

Productivity

•Reinforcement Learning•Natural Language Processing

d1 — Improving the reasoning capabilities of diffusion large language models using reinforcement learning.

Productivity

•Reasoning•Reinforcement Learning

Large World Models — Large World Models: Understanding Video and Language

Productivity

• Artificial Intelligence•Machine Learning

1014

DiffusionRL — Large-scale Reinforcement Learning for Diffusion Models

Productivity

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PaSa

PaSa Visit Over Time

PaSa Visit Trend

PaSa Visit Geography

PaSa Traffic Sources

PaSa Alternatives

PaSa — PaSa is an advanced academic paper search agent driven by large language models, capable of autonomous decision-making and obtaining accurate results.

Models Table — A comprehensive list and information about large language models

Search-R1 — A highly efficient reinforcement learning framework for training language models that perform reasoning and call search engines.

d1 — Improving the reasoning capabilities of diffusion large language models using reinforcement learning.

Large World Models — Large World Models: Understanding Video and Language

DiffusionRL — Large-scale Reinforcement Learning for Diffusion Models

SWE-RL — Enhancing the reasoning capabilities of large language models in open-source software evolution through reinforcement learning.

Tülu 3 405B — Tülu 3 405B is a large-scale open-source language model enhanced through reinforcement learning.

self-adaptive-llms — A real-time adaptive framework for unseen tasks using large language models.

Language Learning Games — AI text adventure games for language learning

FP6-LLM — Efficiently serving large language models

Eureka — A human-level reward design algorithm implemented by encoding large language models.

RL4VLM — An open-source project that fine-tunes large vision-language models via reinforcement learning to act as decision-making agents.

BiTA — Bidirectional Adjustment for Large Language Models

DeepSeek-R1-Distill-Llama-70B — DeepSeek-R1-Distill-Llama-70B is a large language model optimized using reinforcement learning, focusing on reasoning and conversational capabilities.

CuMo — An advanced architecture for extending multimodal large language models (LLMs).

VSP-LLM — A framework that combines Visual Speech Processing with Large Language Models

DIAMOND — A reinforcement learning agent trained in a diffusion world model

LLM Maybe LongLM — Extends the context window of large language models

Language Atlas — Free language learning

Nemotron-4-340B-Reward — A multi-dimensional reward model to help build custom large language models.

Prompt Engineering Guide — A comprehensive guide to prompt engineering for large language models

Level-Navi Agent-Search — Level-Navi Agent is a ready-to-use framework that utilizes large language models for in-depth query understanding and precise search.

DataBonsai — A Python library for data cleaning and organization using Large Language Models (LLMs).

Benchmarking API Performance of Large Language Models — In-depth analysis of key metrics like TTFT and TPS

EAGLE — Exploration of the design space for multimodal large language models

Sonus-1 — Sonus-1: A New Era of Large Language Models (LLMs)

Open LLM Leaderboard — A publicly accessible leaderboard of large language models.

Brainglue — Brainglue is an interesting experimental platform for large language models

GPT Academic — Provides a practical interactive interface for LLM large language models like GPT/GLM