QuantLRM: Quantization of Large Reasoning Models via Fine-Tuning Signals
Paper • 2602.02581 • Published • 10
AI & ML interests
None defined yet.
yusenzhang
authored 12
papers 5 months ago
Training Step-Level Reasoning Verifiers with Formal Verification Tools
Paper • 2505.15960 • Published • 7
When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks
Paper • 2504.02010 • Published
HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
Paper • 2504.18406 • Published • 3
GREATERPROMPT: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization
Paper • 2504.03975 • Published
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks
Paper • 2406.02818 • Published • 2
FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization
Paper • 2311.02271 • Published
GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers
Paper • 2412.09722 • Published • 5
Verbosity $\neq$ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models
Paper • 2411.07858 • Published • 2
AAAR-1.0: Assessing AI's Potential to Assist Research
Paper • 2410.22394 • Published • 16
Evaluating LLMs at Detecting Errors in LLM Responses
Paper • 2404.03602 • Published • 3
SummerTime: Text Summarization Toolkit for Non-experts
Paper • 2108.12738 • Published