Copertina

Beyond Mode-Seeking RL: Trajectory-Balance Post-Training for Diffusion Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ahmadi, Saba, Parthasarathi, Prasanna, Cui, Yufei
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Nested-ReFT: Efficient Reinforcement Learning for Large Language Model Fine-Tuning via Off-Policy Rollouts
di: Heuillet, Maxime, et al.
Pubblicazione: (2025)

Do Large Language Models Know How Much They Know?
di: Prato, Gabriele, et al.
Pubblicazione: (2025)

Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models
di: Puri, Isha, et al.
Pubblicazione: (2026)

Towards Practical Tool Usage for Continually Learning LLMs
di: Huang, Jerry, et al.
Pubblicazione: (2024)

Do Robot Snakes Dream like Electric Sheep? Investigating the Effects of Architectural Inductive Biases on Hallucination
di: Huang, Jerry, et al.
Pubblicazione: (2024)

Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding
di: Iso, Hayate, et al.
Pubblicazione: (2026)

Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models
di: Metel, Michael R., et al.
Pubblicazione: (2026)

Scaling Beyond Masked Diffusion Language Models
di: Sahoo, Subham Sekhar, et al.
Pubblicazione: (2026)

On the Optimal Reasoning Length for RL-Trained Language Models
di: Nohara, Daisuke, et al.
Pubblicazione: (2026)

An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics
di: Ahmadi, Saba, et al.
Pubblicazione: (2023)

DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training
di: Wang, Zhenting, et al.
Pubblicazione: (2025)

Scaling Laws for Post Training Quantized Large Language Models
di: Xu, Zifei, et al.
Pubblicazione: (2024)

Few-Step Diffusion Language Models via Trajectory Self-Distillation
di: Zhang, Tunyu, et al.
Pubblicazione: (2026)

$Q\sharp$: Provably Optimal Distributional RL for LLM Post-Training
di: Zhou, Jin Peng, et al.
Pubblicazione: (2025)

Escaping the Mode Lottery: Multi-Response Training Improves Language Model Generalization
di: Amin, Hasan, et al.
Pubblicazione: (2026)

Efficient Post-Training Pruning of Large Language Models with Statistical Correction
di: Yu, Peiqi, et al.
Pubblicazione: (2026)

Modifying Large Language Model Post-Training for Diverse Creative Writing
di: Chung, John Joon Young, et al.
Pubblicazione: (2025)

Reinterpreting 'the Company a Word Keeps': Towards Explainable and Ontologically Grounded Language Models
di: Saba, Walid S.
Pubblicazione: (2024)

Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?
di: He, Yufei, et al.
Pubblicazione: (2025)

AlignTune: Modular Toolkit for Post-Training Alignment of Large Language Models
di: Lyngkhoi, R E Zera Marveen, et al.
Pubblicazione: (2026)

Reconsidering Positional Supervision in Masked Diffusion Language Model Training
di: Ye, Mengyu, et al.
Pubblicazione: (2026)

Z-Pruner: Post-Training Pruning of Large Language Models for Efficiency without Retraining
di: Bhuiyan, Samiul Basir, et al.
Pubblicazione: (2025)

Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models
di: Solgi, Ryan, et al.
Pubblicazione: (2025)

Mapping Post-Training Forgetting in Language Models at Scale
di: Harmon, Jackson, et al.
Pubblicazione: (2025)

Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
di: Yang, Zhuolin, et al.
Pubblicazione: (2026)

CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models
di: Nanda, Amitash, et al.
Pubblicazione: (2024)

ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL
di: Zhou, Yifei, et al.
Pubblicazione: (2024)

VisMin: Visual Minimal-Change Understanding
di: Awal, Rabiul, et al.
Pubblicazione: (2024)

Prioritized Replay for RL Post-training
di: Fatemi, Mehdi
Pubblicazione: (2026)

Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models
di: Lin, Nianyi, et al.
Pubblicazione: (2025)

Training Optimal Large Diffusion Language Models
di: Ni, Jinjie, et al.
Pubblicazione: (2025)

Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead
di: Kang, Feiyang, et al.
Pubblicazione: (2025)

HierRouter: Coordinated Routing of Specialized Large Language Models via Reinforcement Learning
di: Gupta, Nikunj, et al.
Pubblicazione: (2025)

S-GRPO: Unified Post-Training for Large Vision-Language Models
di: Yan, Yuming, et al.
Pubblicazione: (2026)

On Domain-Adaptive Post-Training for Multimodal Large Language Models
di: Cheng, Daixuan, et al.
Pubblicazione: (2024)

Interactions Across Blocks in Post-Training Quantization of Large Language Models
di: Shabanovi, Khasmamad, et al.
Pubblicazione: (2024)

A Post-Training Enhanced Optimization Approach for Small Language Models
di: Zhai, Keke
Pubblicazione: (2024)

Towards a Unified View of Large Language Model Post-Training
di: Lv, Xingtai, et al.
Pubblicazione: (2025)

Exploration Hacking: Can LLMs Learn to Resist RL Training?
di: Jang, Eyon, et al.
Pubblicazione: (2026)

VinePPO: Refining Credit Assignment in RL Training of LLMs
di: Kazemnejad, Amirhossein, et al.
Pubblicazione: (2024)