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Collections including paper arxiv:2507.13334
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Retrieval Augmented Generation for Domain-specific Question Answering
Paper • 2404.14760 • Published • 1 -
Question Answering on Patient Medical Records with Private Fine-Tuned LLMs
Paper • 2501.13687 • Published • 9 -
CFMatch: Aligning Automated Answer Equivalence Evaluation with Expert Judgments For Open-Domain Question Answering
Paper • 2401.13170 • Published • 4 -
KaPQA: Knowledge-Augmented Product Question-Answering
Paper • 2407.16073 • Published • 1
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A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 264 -
GUI-G^2: Gaussian Reward Modeling for GUI Grounding
Paper • 2507.15846 • Published • 135 -
ScreenCoder: Advancing Visual-to-Code Generation for Front-End Automation via Modular Multimodal Agents
Paper • 2507.22827 • Published • 100 -
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 224
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 630 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 304 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 320 -
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
Paper • 2509.03867 • Published • 213
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LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Paper • 2403.13372 • Published • 183 -
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
Paper • 2508.09834 • Published • 53 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 264
-
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 630 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 304 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 320 -
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
Paper • 2509.03867 • Published • 213
-
Retrieval Augmented Generation for Domain-specific Question Answering
Paper • 2404.14760 • Published • 1 -
Question Answering on Patient Medical Records with Private Fine-Tuned LLMs
Paper • 2501.13687 • Published • 9 -
CFMatch: Aligning Automated Answer Equivalence Evaluation with Expert Judgments For Open-Domain Question Answering
Paper • 2401.13170 • Published • 4 -
KaPQA: Knowledge-Augmented Product Question-Answering
Paper • 2407.16073 • Published • 1
-
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Paper • 2403.13372 • Published • 183 -
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
Paper • 2508.09834 • Published • 53 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 264
-
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 264 -
GUI-G^2: Gaussian Reward Modeling for GUI Grounding
Paper • 2507.15846 • Published • 135 -
ScreenCoder: Advancing Visual-to-Code Generation for Front-End Automation via Modular Multimodal Agents
Paper • 2507.22827 • Published • 100 -
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Paper • 2508.18265 • Published • 224