Pitfalls of Rule- and Model-based Verifiers -- A Case Study on Mathematical Reasoning Paper • 2505.22203 • Published 15 days ago • 6
SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond Paper • 2505.19641 • Published 17 days ago • 64
On the Perception Bottleneck of VLMs for Chart Understanding Paper • 2503.18435 • Published Mar 24 • 1
Learn to Reason Efficiently with Adaptive Length-based Reward Shaping Paper • 2505.15612 • Published 22 days ago • 32
Diving into Self-Evolving Training for Multimodal Reasoning Paper • 2412.17451 • Published Dec 23, 2024 • 44
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild Paper • 2503.18892 • Published Mar 24 • 31
Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging Paper • 2505.05464 • Published May 8 • 10
Learn to Reason Efficiently with Adaptive Length-based Reward Shaping Paper • 2505.15612 • Published 22 days ago • 32
RL4Reasoning/verl-grpo-lr-deepscaler-bsz128-16384-8192-rtl-cliphigh-hf-1.5B-2_deepscaler_-390 Updated Apr 22
RL4Reasoning/verl-grpo-lr-deepscaler-bsz128-16384-rtl-dynamic-m-e-l4096-cliphigh-hf-1.5B-4_deepscaler_-220 Updated Apr 22 • 8
RL4Reasoning/verl-grpo-lr-deepscaler-bsz128-16384-rtl-dynamic-m-e-l4096-cliphigh-hf-1.5B-4_deepscaler_-220 Updated Apr 22 • 8
RL4Reasoning/verl-grpo-lr-deepscaler-bsz128-16384-rtl-dynamic-m-e-cliphigh-hf-1.5B-4_deepscaler_-390 Updated Apr 22 • 9
RL4Reasoning/verl-grpo-lr-deepscaler-bsz128-16384-rtl-dynamic-m-e-cliphigh-hf-1.5B-4_deepscaler_-390 Updated Apr 22 • 9
RL4Reasoning/verl-grpo-lr-deepscaler-bsz128-16384-2048-rtl-cliphigh-hf-1.5B-4_deepscaler_-340 Updated Apr 22 • 8
RL4Reasoning/verl-grpo-lr-deepscaler-bsz128-16384-2048-rtl-cliphigh-hf-1.5B-4_deepscaler_-340 Updated Apr 22 • 8
RL4Reasoning/verl-grpo-lr-deepscaler-bsz128-16384-4096-rtl-cliphigh-hf-1.5B-4_deepscaler_-140 Updated Apr 22 • 8