Not Just Reason, Not Just Scan: Reinforcement Learning for Proactive Scientific Error Verification over Academic Paper

arXiv:2608.26596 · cs.CL · Submitted 2026-08-27 · Read on arXiv

cs.CL

Submitted: 2026-08-27

Updated: 2026-08-27

Code: https://github.com/Staudinger0325/VERA-RL

Terminology

• Verification — 18× in this paper · explained in 2 episodes
• Benchmark — 17× in this paper · explained in 2 episodes
• Ablation — 14× in this paper · explained in 1 episode
• Reinforcement Learning — 10× in this paper · explained in 4 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Benchmarking — 4× in this paper · explained in 3 episodes
• Information Leakage — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• Generalizability — 2× in this paper · explained in 6 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Differential Privacy — 1× in this paper · explained in 4 episodes
• Error Taxonomy — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Multimodal Learning — 1× in this paper · explained in 2 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• Qwen3-VL Technical Report
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• PaSa: An LLM Agent for Comprehensive Academic Paper Search
• QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
• OpenAI o1 System Card
• Direct Preference Optimization: Your Language Model is Secretly a Reward Model
• Proximal Policy Optimization Algorithms
• PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal Inconsistencies
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• PaperAudit-Bench: Benchmarking Error Detection in Research Papers for Critical Automated Peer Review
• VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning
• LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts
• CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
• DeepSeek-OCR: Contexts Optical Compression
• FLAWS: A Benchmark for Error Identification and Localization in Scientific Papers
• MMCR: Advancing Visual Language Model in Multimodal Multi-Turn Contextual Reasoning
• DAPO: An Open-Source LLM Reinforcement Learning System at Scale
• VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning

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