Where does output diversity collapse in post-training?
Fuente:
arXiv
Saved in:
| Main Authors: | Karouzos, Constantinos, Tan, Xingwei, Aletras, Nikolaos |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An Empirical Study on Preference Tuning Generalization and Diversity Under Domain Shift
by: Karouzos, Constantinos, et al.
Published: (2026)
by: Karouzos, Constantinos, et al.
Published: (2026)
Incorporating Attribution Importance for Improving Faithfulness Metrics
by: Zhao, Zhixue, et al.
Published: (2023)
by: Zhao, Zhixue, et al.
Published: (2023)
Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation?
by: Lewis-Lim, Samuel, et al.
Published: (2025)
by: Lewis-Lim, Samuel, et al.
Published: (2025)
Reasoning Dynamics and the Limits of Monitoring Modality Reliance in Vision-Language Models
by: Villegas, Danae Sánchez, et al.
Published: (2026)
by: Villegas, Danae Sánchez, et al.
Published: (2026)
Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models
by: Tan, Xingwei, et al.
Published: (2026)
by: Tan, Xingwei, et al.
Published: (2026)
Self-Improving Pretraining: using post-trained models to pretrain better models
by: Tan, Ellen Xiaoqing, et al.
Published: (2026)
by: Tan, Ellen Xiaoqing, et al.
Published: (2026)
Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models
by: Zhao, Zhixue, et al.
Published: (2024)
by: Zhao, Zhixue, et al.
Published: (2024)
Complementing reinforcement learning with SFT through logit averaging in the post training of LLMs
by: Gan, Xingwei, et al.
Published: (2026)
by: Gan, Xingwei, et al.
Published: (2026)
Bridging the Gap: From Ad-hoc to Proactive Search in Conversations
by: Meng, Chuan, et al.
Published: (2025)
by: Meng, Chuan, et al.
Published: (2025)
How Can We Effectively Expand the Vocabulary of LLMs with 0.01GB of Target Language Text?
by: Yamaguchi, Atsuki, et al.
Published: (2024)
by: Yamaguchi, Atsuki, et al.
Published: (2024)
An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference
by: Yamaguchi, Atsuki, et al.
Published: (2024)
by: Yamaguchi, Atsuki, et al.
Published: (2024)
Where Do Reasoning Models Refuse?
by: Yamaguchi, Kureha, et al.
Published: (2025)
by: Yamaguchi, Kureha, et al.
Published: (2025)
Why mask diffusion does not work
by: Sun, Haocheng, et al.
Published: (2025)
by: Sun, Haocheng, et al.
Published: (2025)
Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance
by: Alajrami, Ahmed, et al.
Published: (2025)
by: Alajrami, Ahmed, et al.
Published: (2025)
Fantastic Bugs and Where to Find Them in AI Benchmarks
by: Truong, Sang, et al.
Published: (2025)
by: Truong, Sang, et al.
Published: (2025)
Decoupling the "What" and "Where" With Polar Coordinate Positional Embeddings
by: Gopalakrishnan, Anand, et al.
Published: (2025)
by: Gopalakrishnan, Anand, et al.
Published: (2025)
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
by: Lan, Pengxiang, et al.
Published: (2024)
by: Lan, Pengxiang, et al.
Published: (2024)
Where Norms and References Collide: Evaluating LLMs on Normative Reasoning
by: Abrams, Mitchell, et al.
Published: (2026)
by: Abrams, Mitchell, et al.
Published: (2026)
Where Pretraining writes and Alignment reads: the asymmetry of Transformer weight space
by: Ruscio, Valeria, et al.
Published: (2026)
by: Ruscio, Valeria, et al.
Published: (2026)
From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space
by: Tan, Yuqiao, et al.
Published: (2026)
by: Tan, Yuqiao, et al.
Published: (2026)
Where Does Toxicity Live? Mechanistic Localization and Targeted Suppression in Language Models
by: Beniwal, Himanshu, et al.
Published: (2026)
by: Beniwal, Himanshu, et al.
Published: (2026)
Fantastic Reasoning Behaviors and Where to Find Them: Unsupervised Discovery of the Reasoning Process
by: Zhang, Zhenyu, et al.
Published: (2025)
by: Zhang, Zhenyu, et al.
Published: (2025)
Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization
by: Chrysostomou, George, et al.
Published: (2023)
by: Chrysostomou, George, et al.
Published: (2023)
Adapting Chat Language Models Using Only Target Unlabeled Language Data
by: Yamaguchi, Atsuki, et al.
Published: (2024)
by: Yamaguchi, Atsuki, et al.
Published: (2024)
Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates
by: Yamaguchi, Atsuki, et al.
Published: (2025)
by: Yamaguchi, Atsuki, et al.
Published: (2025)
Where Rollouts Begin: Low-Load, High-Leverage First-Token Diversification for RLVR
by: Kim, Soeun, et al.
Published: (2026)
by: Kim, Soeun, et al.
Published: (2026)
Deconstructing Attention: Investigating Design Principles for Effective Language Modeling
by: Xue, Huiyin, et al.
Published: (2025)
by: Xue, Huiyin, et al.
Published: (2025)
Where Did It Go Wrong? Attributing Undesirable LLM Behaviors via Representation Gradient Tracing
by: Li, Zhe, et al.
Published: (2025)
by: Li, Zhe, et al.
Published: (2025)
Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning
by: Wang, Ziyan, et al.
Published: (2025)
by: Wang, Ziyan, et al.
Published: (2025)
Prioritized Replay for RL Post-training
by: Fatemi, Mehdi
Published: (2026)
by: Fatemi, Mehdi
Published: (2026)
FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
by: Shin, Hagyeong, et al.
Published: (2025)
by: Shin, Hagyeong, et al.
Published: (2025)
Automatic Pair Construction for Contrastive Post-training
by: Xu, Canwen, et al.
Published: (2023)
by: Xu, Canwen, et al.
Published: (2023)
Aviary: training language agents on challenging scientific tasks
by: Narayanan, Siddharth, et al.
Published: (2024)
by: Narayanan, Siddharth, et al.
Published: (2024)
Post-training for Efficient Communication via Convention Formation
by: Hua, Yilun, et al.
Published: (2025)
by: Hua, Yilun, et al.
Published: (2025)
Investigating Data Contamination for Pre-training Language Models
by: Jiang, Minhao, et al.
Published: (2024)
by: Jiang, Minhao, et al.
Published: (2024)
Aligning Pre-trained Models for Spoken Language Translation
by: Sedláček, Šimon, et al.
Published: (2024)
by: Sedláček, Šimon, et al.
Published: (2024)
Efficient Post-training Quantization with FP8 Formats
by: Shen, Haihao, et al.
Published: (2023)
by: Shen, Haihao, et al.
Published: (2023)
Sequence-to-Sequence Spanish Pre-trained Language Models
by: Araujo, Vladimir, et al.
Published: (2023)
by: Araujo, Vladimir, et al.
Published: (2023)
We Need to Talk About Classification Evaluation Metrics in NLP
by: Vickers, Peter, et al.
Published: (2024)
by: Vickers, Peter, et al.
Published: (2024)
Negation Neglect: When models fail to learn negations in training
by: Mayne, Harry, et al.
Published: (2026)
by: Mayne, Harry, et al.
Published: (2026)
Similar Items
-
An Empirical Study on Preference Tuning Generalization and Diversity Under Domain Shift
by: Karouzos, Constantinos, et al.
Published: (2026) -
Incorporating Attribution Importance for Improving Faithfulness Metrics
by: Zhao, Zhixue, et al.
Published: (2023) -
Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation?
by: Lewis-Lim, Samuel, et al.
Published: (2025) -
Reasoning Dynamics and the Limits of Monitoring Modality Reliance in Vision-Language Models
by: Villegas, Danae Sánchez, et al.
Published: (2026) -
Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models
by: Tan, Xingwei, et al.
Published: (2026)