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TOFU: A Task of Fictitious Unlearning for LLMs
Paper • 2401.06121 • Published • 20 -
The Frontier of Data Erasure: Machine Unlearning for Large Language Models
Paper • 2403.15779 • Published • 1 -
Machine Unlearning of Pre-trained Large Language Models
Paper • 2402.15159 • Published -
Rethinking Machine Unlearning for Large Language Models
Paper • 2402.08787 • Published • 3
Collections
Discover the best community collections!
Collections including paper arxiv:2509.13755
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lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 196 • 99 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 39 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88
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CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
Paper • 2107.08760 • Published -
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future
Paper • 2408.02479 • Published -
PurpCode: Reasoning for Safer Code Generation
Paper • 2507.19060 • Published • 2 -
Vulnerability Detection Using Two-Stage Deep Learning Models
Paper • 2305.09673 • Published
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Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 72 -
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Paper • 2509.03403 • Published • 23 -
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Paper • 2509.03405 • Published • 24 -
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Paper • 2509.00930 • Published • 5
-
TOFU: A Task of Fictitious Unlearning for LLMs
Paper • 2401.06121 • Published • 20 -
The Frontier of Data Erasure: Machine Unlearning for Large Language Models
Paper • 2403.15779 • Published • 1 -
Machine Unlearning of Pre-trained Large Language Models
Paper • 2402.15159 • Published -
Rethinking Machine Unlearning for Large Language Models
Paper • 2402.08787 • Published • 3
-
CVEfixes: Automated Collection of Vulnerabilities and Their Fixes from Open-Source Software
Paper • 2107.08760 • Published -
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future
Paper • 2408.02479 • Published -
PurpCode: Reasoning for Safer Code Generation
Paper • 2507.19060 • Published • 2 -
Vulnerability Detection Using Two-Stage Deep Learning Models
Paper • 2305.09673 • Published
-
Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 72 -
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Paper • 2509.03403 • Published • 23 -
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Paper • 2509.03405 • Published • 24 -
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Paper • 2509.00930 • Published • 5
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 196 • 99 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 39 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88