Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models
Paper
•
2502.14191
•
Published
•
4
wongyukim
wongyukim
AI & ML interests
None yet
Recent Activity
upvoted
a
paper
1 day ago
From RAG to Memory: Non-Parametric Continual Learning for Large Language
Models
Organizations
None yet
wongyukim's activity
upvoted
7
papers
1 day ago
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data
Paper
•
2502.14044
•
Published
•
6
From RAG to Memory: Non-Parametric Continual Learning for Large Language Models
Paper
•
2502.14802
•
Published
•
9
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Paper
•
2502.12853
•
Published
•
22
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
Paper
•
2502.14768
•
Published
•
32
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
Paper
•
2502.14502
•
Published
•
65
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper
•
2502.14499
•
Published
•
148
upvoted
13
papers
3 days ago
InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning
Paper
•
2502.11573
•
Published
•
7
MMTEB: Massive Multilingual Text Embedding Benchmark
Paper
•
2502.13595
•
Published
•
26
Thinking Preference Optimization
Paper
•
2502.13173
•
Published
•
14
Small Models Struggle to Learn from Strong Reasoners
Paper
•
2502.12143
•
Published
•
25
Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering
Paper
•
2502.13962
•
Published
•
27
Qwen2.5-VL Technical Report
Paper
•
2502.13923
•
Published
•
136
S*: Test Time Scaling for Code Generation
Paper
•
2502.14382
•
Published
•
51
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Paper
•
2502.14786
•
Published
•
99
FinMTEB: Finance Massive Text Embedding Benchmark
Paper
•
2502.10990
•
Published
•
3
The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1
Paper
•
2502.12659
•
Published
•
5
Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options
Paper
•
2502.12929
•
Published
•
6
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
Paper
•
2502.12215
•
Published
•
15
PAFT: Prompt-Agnostic Fine-Tuning
Paper
•
2502.12859
•
Published
•
12