Do not be greedy, Think Twice: Sampling and Selection for Document-level Information Extraction

arXiv:2601.18395 · cs.CL · Submitted 2026-01-26 · Read on arXiv

cs.CL

Submitted: 2026-01-26

Updated: 2026-09-24

Code: https://github.com/MikelZubi/ThinkTwice

Terminology

• Fine-Tuning — 18× in this paper · explained in 5 episodes
• Information Extraction — 17× in this paper
• Reasoning Traces — 13× in this paper · explained in 3 episodes
• Trace — 13× in this paper · explained in 2 episodes
• Test-time Scaling — 5× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Cross-lingual Transfer — 4× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• In-Context Learning — 2× in this paper · explained in 4 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Test-Time Scaling (TTS) — 2× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• The Llama 3 Herd of Models
• OpenAI o1 System Card
• Llama 2: Open Foundation and Fine-Tuned Chat Models
• Let's Verify Step by Step
• Qwen3 Technical Report
• ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
• In-Context Learning for Few-Shot Nested Named Entity Recognition
• A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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