Generalization of RLVR Using Causal Reasoning as a Testbed
Fuente:
arXiv
Saved in:
| Main Authors: | Lu, Brian, Zhao, Hongyu, Sun, Shuo, Peng, Hao, Ding, Rui, Mei, Hongyuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Countdown-Code: A Testbed for Studying The Emergence and Generalization of Reward Hacking in RLVR
by: Khalifa, Muhammad, et al.
Published: (2026)
by: Khalifa, Muhammad, et al.
Published: (2026)
JudgeRLVR: Judge First, Generate Second for Efficient Reasoning
by: Duo, Jiangshan, et al.
Published: (2026)
by: Duo, Jiangshan, et al.
Published: (2026)
RLPR: Extrapolating RLVR to General Domains without Verifiers
by: Yu, Tianyu, et al.
Published: (2025)
by: Yu, Tianyu, et al.
Published: (2025)
Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs
by: Meng, Haoming, et al.
Published: (2026)
by: Meng, Haoming, et al.
Published: (2026)
PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR
by: Burgess, James, et al.
Published: (2026)
by: Burgess, James, et al.
Published: (2026)
CLIPO: Contrastive Learning in Policy Optimization Generalizes RLVR
by: Cui, Sijia, et al.
Published: (2026)
by: Cui, Sijia, et al.
Published: (2026)
Flexible Entropy Control in RLVR with a Gradient-Preserving Perspective
by: Chen, Kun, et al.
Published: (2026)
by: Chen, Kun, et al.
Published: (2026)
A State-of-the-Art SQL Reasoning Model using RLVR
by: Ali, Alnur, et al.
Published: (2025)
by: Ali, Alnur, et al.
Published: (2025)
Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration
by: Chen, Zhipeng, et al.
Published: (2026)
by: Chen, Zhipeng, et al.
Published: (2026)
Causal Evaluation of Language Models
by: Chen, Sirui, et al.
Published: (2024)
by: Chen, Sirui, et al.
Published: (2024)
The Invisible Leash: Why RLVR May or May Not Escape Its Origin
by: Wu, Fang, et al.
Published: (2025)
by: Wu, Fang, et al.
Published: (2025)
TracrBench: Generating Interpretability Testbeds with Large Language Models
by: Thurnherr, Hannes, et al.
Published: (2024)
by: Thurnherr, Hannes, et al.
Published: (2024)
Can Post-Training Transform LLMs into Causal Reasoners?
by: Chen, Junqi, et al.
Published: (2026)
by: Chen, Junqi, et al.
Published: (2026)
SAGE: Shaping Anchors for Guided Exploration in RLVR of LLMs
by: Lee, Chanuk, et al.
Published: (2026)
by: Lee, Chanuk, et al.
Published: (2026)
Asymmetric Advantage Modulation Calibrates Entropy Dynamics in RLVR
by: Gu, Hengrui, et al.
Published: (2026)
by: Gu, Hengrui, et al.
Published: (2026)
Hypothesis Generation with Large Language Models
by: Zhou, Yangqiaoyu, et al.
Published: (2024)
by: Zhou, Yangqiaoyu, et al.
Published: (2024)
LLMScan: Causal Scan for LLM Misbehavior Detection
by: Zhang, Mengdi, et al.
Published: (2024)
by: Zhang, Mengdi, et al.
Published: (2024)
Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning
by: Cai, Hengrui, et al.
Published: (2023)
by: Cai, Hengrui, et al.
Published: (2023)
Censored LLMs as a Natural Testbed for Secret Knowledge Elicitation
by: Casademunt, Helena, et al.
Published: (2026)
by: Casademunt, Helena, et al.
Published: (2026)
CausalARC: Abstract Reasoning with Causal World Models
by: Maasch, Jacqueline, et al.
Published: (2025)
by: Maasch, Jacqueline, et al.
Published: (2025)
Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward
by: Chen, Peter, et al.
Published: (2025)
by: Chen, Peter, et al.
Published: (2025)
MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models
by: Ding, Peng, et al.
Published: (2024)
by: Ding, Peng, et al.
Published: (2024)
CausalStock: Deep End-to-end Causal Discovery for News-driven Stock Movement Prediction
by: Li, Shuqi, et al.
Published: (2024)
by: Li, Shuqi, et al.
Published: (2024)
Hidden Error Awareness in Chain-of-Thought Reasoning: The Signal Is Diagnostic, Not Causal
by: Yuan, Aojie, et al.
Published: (2026)
by: Yuan, Aojie, et al.
Published: (2026)
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)
Mitigating Hallucinations in Large Language Models via Causal Reasoning
by: Li, Yuangang, et al.
Published: (2025)
by: Li, Yuangang, et al.
Published: (2025)
Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
by: Ma, Zhengzhao, et al.
Published: (2026)
by: Ma, Zhengzhao, et al.
Published: (2026)
CLEAR: Can Language Models Really Understand Causal Graphs?
by: Chen, Sirui, et al.
Published: (2024)
by: Chen, Sirui, et al.
Published: (2024)
MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning
by: Lu, Yiyang, et al.
Published: (2026)
by: Lu, Yiyang, et al.
Published: (2026)
CauScientist: Teaching LLMs to Respect Data for Causal Discovery
by: Peng, Bo, et al.
Published: (2026)
by: Peng, Bo, et al.
Published: (2026)
CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models
by: Komanduri, Aneesh, et al.
Published: (2025)
by: Komanduri, Aneesh, et al.
Published: (2025)
$\mathbf{(N,K)}$-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model
by: Zhang, Yufeng, et al.
Published: (2024)
by: Zhang, Yufeng, et al.
Published: (2024)
Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners
by: Peng, Miao, et al.
Published: (2025)
by: Peng, Miao, et al.
Published: (2025)
Compositional Causal Reasoning Evaluation in Language Models
by: Maasch, Jacqueline R. M. A., et al.
Published: (2025)
by: Maasch, Jacqueline R. M. A., et al.
Published: (2025)
CLadder: Assessing Causal Reasoning in Language Models
by: Jin, Zhijing, et al.
Published: (2023)
by: Jin, Zhijing, et al.
Published: (2023)
FlowRL: Matching Reward Distributions for LLM Reasoning
by: Zhu, Xuekai, et al.
Published: (2025)
by: Zhu, Xuekai, et al.
Published: (2025)
Mitigating Distribution Sharpening in Math RLVR via Distribution-Aligned Hint Synthesis and Backward Hint Annealing
by: Xie, Pei-Xi, et al.
Published: (2026)
by: Xie, Pei-Xi, et al.
Published: (2026)
Mathematical Reasoning via Intervention-Based Time-Series Causal Discovery Using LLMs as Concept Mastery Simulators
by: Okita, Tsuyoshi
Published: (2026)
by: Okita, Tsuyoshi
Published: (2026)
Causality Extraction from Nuclear Licensee Event Reports Using a Hybrid Framework
by: Sohag, Shahidur Rahoman, et al.
Published: (2024)
by: Sohag, Shahidur Rahoman, et al.
Published: (2024)
Teaching Transformers Causal Reasoning through Axiomatic Training
by: Vashishtha, Aniket, et al.
Published: (2024)
by: Vashishtha, Aniket, et al.
Published: (2024)
Similar Items
-
Countdown-Code: A Testbed for Studying The Emergence and Generalization of Reward Hacking in RLVR
by: Khalifa, Muhammad, et al.
Published: (2026) -
JudgeRLVR: Judge First, Generate Second for Efficient Reasoning
by: Duo, Jiangshan, et al.
Published: (2026) -
RLPR: Extrapolating RLVR to General Domains without Verifiers
by: Yu, Tianyu, et al.
Published: (2025) -
Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs
by: Meng, Haoming, et al.
Published: (2026) -
PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR
by: Burgess, James, et al.
Published: (2026)