Papers with RL models
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning (D19-1)
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| Challenge: | Conventional abstractive headline generation methods do not optimize for maximum reader attention. |
| Approach: | They propose a model that generates sensational headlines without labeled data by classifying online headlines with many comments against a summarization model. |
| Outcome: | The proposed model generates sensational headlines without labeled data. |
Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models (2026.acl-long)
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| Challenge: | Reinforcement learning (RL)-based post-training often improves the reasoning performance of large language models beyond the training domain, while supervised fine-tuning (SFT) frequently leads to general capabilities forgetting. |
| Approach: | They propose a feature-level mechanistic analysis methodology to probe RL generalization using a controlled experimental setup. |
| Outcome: | The proposed method identifies a compact, task-agnostic set of features that directly mediate generalization across diverse tasks. |