PaperScout: An Autonomous Agent for Academic Paper Search with Process-Aware Sequence-Level Policy Optimization
cs.AI
Submitted: 2026-01-15
Updated: 2026-09-03
Code: https://github.com/pty12345/PaperScout
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- PaSa: An LLM Agent for Comprehensive Academic Paper Search
- TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning
- DeepSeek-V3 Technical Report
- Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce
- Agent Lightning: Train ANY AI Agents with Reinforcement Learning
- Time Series Forecasting via Reasoning: A Slow-Thinking Approach with Reinforcement Fine-Tuned LLMs
- Agent-R1: A Unified and Modular Framework for Agentic Reinforcement Learning
- OpenLens AI: Fully Autonomous Research Agent for Health Infomatics
- Chain of Retrieval: Multi-Aspect Iterative Search Expansion and Post-Order Search Aggregation for Full Paper Retrieval
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
- VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
- Proximal Policy Optimization Algorithms
- Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking
- Group Sequence Policy Optimization
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Large Language Models for Information Retrieval: A Survey
- SPAR: Scholar Paper Retrieval with LLM-based Agents for Enhanced Academic Search
- PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature
- Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting
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