Guardado en:
| Autores principales: | Zheng, Shenghe, Huang, Chenyu, Yu, Fangchen, Yao, Junchi, Ye, Jingqi, Chen, Tao, Luo, Yun, Ding, Ning, BAI, LEI, Cui, Ganqu, Ye, Peng |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2509.24285 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Scaling Physical Reasoning with the PHYSICS Dataset
por: Zheng, Shenghe, et al.
Publicado: (2025)
por: Zheng, Shenghe, et al.
Publicado: (2025)
RLPR: Extrapolating RLVR to General Domains without Verifiers
por: Yu, Tianyu, et al.
Publicado: (2025)
por: Yu, Tianyu, et al.
Publicado: (2025)
P1: Mastering Physics Olympiads with Reinforcement Learning
por: Chen, Jiacheng, et al.
Publicado: (2025)
por: Chen, Jiacheng, et al.
Publicado: (2025)
Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement Learning
por: Wang, Futing, et al.
Publicado: (2026)
por: Wang, Futing, et al.
Publicado: (2026)
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning
por: Cheng, Qianjia, et al.
Publicado: (2026)
por: Cheng, Qianjia, et al.
Publicado: (2026)
InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling
por: Li, Peiji, et al.
Publicado: (2025)
por: Li, Peiji, et al.
Publicado: (2025)
Scientific QA System with Verifiable Answers
por: Ljajić, Adela, et al.
Publicado: (2024)
por: Ljajić, Adela, et al.
Publicado: (2024)
PhysicsMinions: Winning Gold Medals in the Latest Physics Olympiads with a Coevolutionary Multimodal Multi-Agent System
por: Yu, Fangchen, et al.
Publicado: (2025)
por: Yu, Fangchen, et al.
Publicado: (2025)
Steering the Verifiability of Multimodal AI Hallucinations
por: Pang, Jianhong, et al.
Publicado: (2026)
por: Pang, Jianhong, et al.
Publicado: (2026)
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations
por: Chen, Ding, et al.
Publicado: (2025)
por: Chen, Ding, et al.
Publicado: (2025)
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
por: Seo, Wooseok, et al.
Publicado: (2025)
por: Seo, Wooseok, et al.
Publicado: (2025)
CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era
por: Shi, Kaiwen, et al.
Publicado: (2026)
por: Shi, Kaiwen, et al.
Publicado: (2026)
HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark?
por: Yu, Fangchen, et al.
Publicado: (2025)
por: Yu, Fangchen, et al.
Publicado: (2025)
DocScope: Benchmarking Verifiable Reasoning for Trustworthy Long-Document Understanding
por: Feng, Xiang, et al.
Publicado: (2026)
por: Feng, Xiang, et al.
Publicado: (2026)
UltraIF: Advancing Instruction Following from the Wild
por: An, Kaikai, et al.
Publicado: (2025)
por: An, Kaikai, et al.
Publicado: (2025)
End-to-end Compositional Verification of Program Safety through Verified and Verifying Compilation
por: Wu, Jinhua, et al.
Publicado: (2025)
por: Wu, Jinhua, et al.
Publicado: (2025)
Towards Verified Compilation of Floating-point Optimization in Scientific Computing Programs
por: Tekriwal, Mohit, et al.
Publicado: (2025)
por: Tekriwal, Mohit, et al.
Publicado: (2025)
P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads
por: Luo, Yun, et al.
Publicado: (2026)
por: Luo, Yun, et al.
Publicado: (2026)
TextualVerifier: Verify TextGrad Step-by-Step
por: Situmorang, Eugenius Mario, et al.
Publicado: (2025)
por: Situmorang, Eugenius Mario, et al.
Publicado: (2025)
VERINA: Benchmarking Verifiable Code Generation
por: Ye, Zhe, et al.
Publicado: (2025)
por: Ye, Zhe, et al.
Publicado: (2025)
RustCompCert: A Verified and Verifying Compiler for a Sequential Subset of Rust
por: Wu, Jinhua, et al.
Publicado: (2026)
por: Wu, Jinhua, et al.
Publicado: (2026)
Verifiable Format Control for Large Language Model Generations
por: Wang, Zhaoyang, et al.
Publicado: (2025)
por: Wang, Zhaoyang, et al.
Publicado: (2025)
Draft-OPD: On-Policy Distillation for Speculative Draft Models
por: Lei, Haodi, et al.
Publicado: (2026)
por: Lei, Haodi, et al.
Publicado: (2026)
LLatrieval: LLM-Verified Retrieval for Verifiable Generation
por: Li, Xiaonan, et al.
Publicado: (2023)
por: Li, Xiaonan, et al.
Publicado: (2023)
LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening
por: Zhang, Ming, et al.
Publicado: (2026)
por: Zhang, Ming, et al.
Publicado: (2026)
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention
por: Lv, Xingtai, et al.
Publicado: (2024)
por: Lv, Xingtai, et al.
Publicado: (2024)
Generalizing Verifiable Instruction Following
por: Pyatkin, Valentina, et al.
Publicado: (2025)
por: Pyatkin, Valentina, et al.
Publicado: (2025)
DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
por: Shao, Zhihong, et al.
Publicado: (2025)
por: Shao, Zhihong, et al.
Publicado: (2025)
A Unified Study of LoRA Variants: Taxonomy, Review, Codebase, and Empirical Evaluation
por: He, Haonan, et al.
Publicado: (2026)
por: He, Haonan, et al.
Publicado: (2026)
RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents
por: Wang, Peisong, et al.
Publicado: (2025)
por: Wang, Peisong, et al.
Publicado: (2025)
Dynamic Base model Shift for Delta Compression
por: Huang, Chenyu, et al.
Publicado: (2025)
por: Huang, Chenyu, et al.
Publicado: (2025)
FRISM: Fine-Grained Reasoning Injection via Subspace-Level Model Merging for Vision-Language Models
por: Huang, Chenyu, et al.
Publicado: (2026)
por: Huang, Chenyu, et al.
Publicado: (2026)
Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
por: Liu, Xiaoyuan, et al.
Publicado: (2025)
por: Liu, Xiaoyuan, et al.
Publicado: (2025)
AutoPyVerifier: Learning Compact Executable Verifiers for Large Language Model Outputs
por: Pezeshkpour, Pouya, et al.
Publicado: (2026)
por: Pezeshkpour, Pouya, et al.
Publicado: (2026)
SCI-IDEA: Context-Aware Scientific Ideation Using Token and Sentence Embeddings
por: Keya, Farhana, et al.
Publicado: (2025)
por: Keya, Farhana, et al.
Publicado: (2025)
Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning
por: Tong, Jingqi, et al.
Publicado: (2025)
por: Tong, Jingqi, et al.
Publicado: (2025)
Learning to Self-Verify Makes Language Models Better Reasoners
por: Chen, Yuxin, et al.
Publicado: (2026)
por: Chen, Yuxin, et al.
Publicado: (2026)
Asking LLMs to Verify First is Almost Free Lunch
por: Wu, Shiguang, et al.
Publicado: (2025)
por: Wu, Shiguang, et al.
Publicado: (2025)
VeriEquivBench: An Equivalence Score for Ground-Truth-Free Evaluation of Formally Verifiable Code
por: Zeng, Lingfei, et al.
Publicado: (2025)
por: Zeng, Lingfei, et al.
Publicado: (2025)
Toward Verifiable Misinformation Detection: A Multi-Tool LLM Agent Framework
por: Cui, Zikun, et al.
Publicado: (2025)
por: Cui, Zikun, et al.
Publicado: (2025)
Ejemplares similares
-
Scaling Physical Reasoning with the PHYSICS Dataset
por: Zheng, Shenghe, et al.
Publicado: (2025) -
RLPR: Extrapolating RLVR to General Domains without Verifiers
por: Yu, Tianyu, et al.
Publicado: (2025) -
P1: Mastering Physics Olympiads with Reinforcement Learning
por: Chen, Jiacheng, et al.
Publicado: (2025) -
Think Longer to Explore Deeper: Learn to Explore In-Context via Length-Incentivized Reinforcement Learning
por: Wang, Futing, et al.
Publicado: (2026) -
Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning
por: Cheng, Qianjia, et al.
Publicado: (2026)