RM-R1: Reward Modeling as Reasoning
Paper
•
2505.02387
•
Published
•
66
wei
fengwei
AI & ML interests
None yet
Recent Activity
liked
a model
6 days ago
lightblue/lb-reranker-0.5B-v1.0
upvoted
a
paper
8 days ago
RM-R1: Reward Modeling as Reasoning
upvoted
a
paper
8 days ago
ZeroSearch: Incentivize the Search Capability of LLMs without Searching
Organizations
None yet
fengwei's activity
upvoted
2
papers
8 days ago
upvoted
2
papers
13 days ago
upvoted
a
paper
28 days ago
upvoted
a
paper
about 1 month ago
upvoted
a
collection
about 1 month ago
upvoted
3
papers
about 1 month ago
ZClip: Adaptive Spike Mitigation for LLM Pre-Training
Paper
•
2504.02507
•
Published
•
78
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper
•
2504.01990
•
Published
•
277
MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization
Paper
•
2504.00999
•
Published
•
89
upvoted
a
paper
about 2 months ago
upvoted
an
article
about 2 months ago
Article
Guiding Text Generation with Constrained Beam Search in 🤗 Transformers
By
•
•
11
upvoted
6
papers
about 2 months ago
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper
•
2503.14476
•
Published
•
126
Unified Reward Model for Multimodal Understanding and Generation
Paper
•
2503.05236
•
Published
•
123
Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders
Paper
•
2503.03601
•
Published
•
232
Chain-of-Retrieval Augmented Generation
Paper
•
2501.14342
•
Published
•
57
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders
Paper
•
2503.18878
•
Published
•
118
EuroBERT: Scaling Multilingual Encoders for European Languages
Paper
•
2503.05500
•
Published
•
79
upvoted
2
papers
3 months ago