DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
Fuente:
arXiv
Saved in:
| Main Authors: | Shao, Rulin, Asai, Akari, Shen, Shannon Zejiang, Ivison, Hamish, Kishore, Varsha, Zhuo, Jingming, Zhao, Xinran, Park, Molly, Finlayson, Samuel G., Sontag, David, Murray, Tyler, Min, Sewon, Dasigi, Pradeep, Soldaini, Luca, Brahman, Faeze, Yih, Wen-tau, Wu, Tongshuang, Zettlemoyer, Luke, Kim, Yoon, Hajishirzi, Hannaneh, Koh, Pang Wei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations
by: Chen, Tong, et al.
Published: (2025)
by: Chen, Tong, et al.
Published: (2025)
Reliable, Adaptable, and Attributable Language Models with Retrieval
by: Asai, Akari, et al.
Published: (2024)
by: Asai, Akari, et al.
Published: (2024)
Meta-Reinforcement Learning with Self-Reflection for Agentic Search
by: Xiao, Teng, et al.
Published: (2026)
by: Xiao, Teng, et al.
Published: (2026)
Large-Scale Data Selection for Instruction Tuning
by: Ivison, Hamish, et al.
Published: (2025)
by: Ivison, Hamish, et al.
Published: (2025)
Tulu 3: Pushing Frontiers in Open Language Model Post-Training
by: Lambert, Nathan, et al.
Published: (2024)
by: Lambert, Nathan, et al.
Published: (2024)
Generalizing Verifiable Instruction Following
by: Pyatkin, Valentina, et al.
Published: (2025)
by: Pyatkin, Valentina, et al.
Published: (2025)
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation
by: Chen, Tong, et al.
Published: (2024)
by: Chen, Tong, et al.
Published: (2024)
Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens
by: Liu, Jiacheng, et al.
Published: (2024)
by: Liu, Jiacheng, et al.
Published: (2024)
Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
by: Wettig, Alexander, et al.
Published: (2025)
by: Wettig, Alexander, et al.
Published: (2025)
ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data
by: Chen, Tong, et al.
Published: (2025)
by: Chen, Tong, et al.
Published: (2025)
Tulu 3: Pushing Frontiers in Open Language Model Post-Training
by: Lambert, N., et al.
Published: (2025)
by: Lambert, N., et al.
Published: (2025)
Small Reward Models via Backward Inference
by: Wang, Yike, et al.
Published: (2026)
by: Wang, Yike, et al.
Published: (2026)
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
by: Shao, Rulin, et al.
Published: (2024)
by: Shao, Rulin, et al.
Published: (2024)
ReasonIR: Training Retrievers for Reasoning Tasks
by: Shao, Rulin, et al.
Published: (2025)
by: Shao, Rulin, et al.
Published: (2025)
HREF: Human Response-Guided Evaluation of Instruction Following in Language Models
by: Lyu, Xinxi, et al.
Published: (2024)
by: Lyu, Xinxi, et al.
Published: (2024)
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
by: Miranda, Lester James V., et al.
Published: (2024)
by: Miranda, Lester James V., et al.
Published: (2024)
BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
by: Cao, Qingqing, et al.
Published: (2023)
by: Cao, Qingqing, et al.
Published: (2023)
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
by: Min, Sewon, et al.
Published: (2023)
by: Min, Sewon, et al.
Published: (2023)
Fine-grained Hallucination Detection and Editing for Language Models
by: Mishra, Abhika, et al.
Published: (2024)
by: Mishra, Abhika, et al.
Published: (2024)
Improving Factuality with Explicit Working Memory
by: Chen, Mingda, et al.
Published: (2024)
by: Chen, Mingda, et al.
Published: (2024)
EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics
by: Li, Shuyue Stella, et al.
Published: (2026)
by: Li, Shuyue Stella, et al.
Published: (2026)
OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
by: Asai, Akari, et al.
Published: (2024)
by: Asai, Akari, et al.
Published: (2024)
The Art of Saying No: Contextual Noncompliance in Language Models
by: Brahman, Faeze, et al.
Published: (2024)
by: Brahman, Faeze, et al.
Published: (2024)
Learning to Detect Language Model Training Data via Active Reconstruction
by: Yin, Junjie Oscar, et al.
Published: (2026)
by: Yin, Junjie Oscar, et al.
Published: (2026)
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback
by: Ivison, Hamish, et al.
Published: (2024)
by: Ivison, Hamish, et al.
Published: (2024)
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging
by: Morrison, Jacob, et al.
Published: (2024)
by: Morrison, Jacob, et al.
Published: (2024)
Do Membership Inference Attacks Work on Large Language Models?
by: Duan, Michael, et al.
Published: (2024)
by: Duan, Michael, et al.
Published: (2024)
Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement
by: Jung, Jaehun, et al.
Published: (2024)
by: Jung, Jaehun, et al.
Published: (2024)
ReFIT: Relevance Feedback from a Reranker during Inference
by: Reddy, Revanth Gangi, et al.
Published: (2023)
by: Reddy, Revanth Gangi, et al.
Published: (2023)
FlexOlmo: Open Language Models for Flexible Data Use
by: Shi, Weijia, et al.
Published: (2025)
by: Shi, Weijia, et al.
Published: (2025)
Spurious Rewards: Rethinking Training Signals in RLVR
by: Shao, Rulin, et al.
Published: (2025)
by: Shao, Rulin, et al.
Published: (2025)
Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model
by: He, Jacqueline, et al.
Published: (2026)
by: He, Jacqueline, et al.
Published: (2026)
Memory Layers at Scale
by: Berges, Vincent-Pierre, et al.
Published: (2024)
by: Berges, Vincent-Pierre, et al.
Published: (2024)
Improving Attributed Long-form Question Answering with Intent Awareness
by: Zhao, Xinran, et al.
Published: (2026)
by: Zhao, Xinran, et al.
Published: (2026)
APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
by: Zhao, Bowen, et al.
Published: (2024)
by: Zhao, Bowen, et al.
Published: (2024)
Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering
by: Chen, Mingda, et al.
Published: (2023)
by: Chen, Mingda, et al.
Published: (2023)
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
by: Chakrabarty, Tuhin, et al.
Published: (2023)
by: Chakrabarty, Tuhin, et al.
Published: (2023)
Olmix: A Framework for Data Mixing Throughout LM Development
by: Chen, Mayee F., et al.
Published: (2026)
by: Chen, Mayee F., et al.
Published: (2026)
Learning to Reason for Factuality
by: Chen, Xilun, et al.
Published: (2025)
by: Chen, Xilun, et al.
Published: (2025)
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
by: Wadden, David, et al.
Published: (2024)
by: Wadden, David, et al.
Published: (2024)
Similar Items
-
Train for Truth, Keep the Skills: Binary Retrieval-Augmented Reward Mitigates Hallucinations
by: Chen, Tong, et al.
Published: (2025) -
Reliable, Adaptable, and Attributable Language Models with Retrieval
by: Asai, Akari, et al.
Published: (2024) -
Meta-Reinforcement Learning with Self-Reflection for Agentic Search
by: Xiao, Teng, et al.
Published: (2026) -
Large-Scale Data Selection for Instruction Tuning
by: Ivison, Hamish, et al.
Published: (2025) -
Tulu 3: Pushing Frontiers in Open Language Model Post-Training
by: Lambert, Nathan, et al.
Published: (2024)