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Collections including paper arxiv:2411.07641

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering

Paper • 2411.11504 • Published Nov 18, 2024 • 24
Top-nσ: Not All Logits Are You Need

Paper • 2411.07641 • Published Nov 12, 2024 • 23
Adaptive Decoding via Latent Preference Optimization

Paper • 2411.09661 • Published Nov 14, 2024 • 10
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training

Paper • 2411.13476 • Published Nov 20, 2024 • 16

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Paper • 2409.10516 • Published Sep 16, 2024 • 44
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Paper • 2409.11242 • Published Sep 17, 2024 • 7
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Paper • 2409.11136 • Published Sep 17, 2024 • 25
On the Diagram of Thought

Paper • 2409.10038 • Published Sep 16, 2024 • 14

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 152
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 32
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16, 2024 • 24
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 70

Massive Activations in Large Language Models

Paper • 2402.17762 • Published Feb 27, 2024 • 1
What Matters in Transformers? Not All Attention is Needed

Paper • 2406.15786 • Published Jun 22, 2024 • 32
The Super Weight in Large Language Models

Paper • 2411.07191 • Published Nov 11, 2024 • 5
Top-nσ: Not All Logits Are You Need

Paper • 2411.07641 • Published Nov 12, 2024 • 23

Perception and abstraction. Each modality is tokenized and embedded into vectors for model to comprehend.

VILA^2: VILA Augmented VILA

Paper • 2407.17453 • Published Jul 24, 2024 • 42
Octopus v4: Graph of language models

Paper • 2404.19296 • Published Apr 30, 2024 • 119
Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26, 2024 • 49
Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

Paper • 2408.15518 • Published Aug 28, 2024 • 43

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 152
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 14
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 61
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 49

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering

Paper • 2411.11504 • Published Nov 18, 2024 • 24
Top-nσ: Not All Logits Are You Need

Paper • 2411.07641 • Published Nov 12, 2024 • 23
Adaptive Decoding via Latent Preference Optimization

Paper • 2411.09661 • Published Nov 14, 2024 • 10
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training

Paper • 2411.13476 • Published Nov 20, 2024 • 16

Massive Activations in Large Language Models

Paper • 2402.17762 • Published Feb 27, 2024 • 1
What Matters in Transformers? Not All Attention is Needed

Paper • 2406.15786 • Published Jun 22, 2024 • 32
The Super Weight in Large Language Models

Paper • 2411.07191 • Published Nov 11, 2024 • 5
Top-nσ: Not All Logits Are You Need

Paper • 2411.07641 • Published Nov 12, 2024 • 23

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Paper • 2409.10516 • Published Sep 16, 2024 • 44
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Paper • 2409.11242 • Published Sep 17, 2024 • 7
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Paper • 2409.11136 • Published Sep 17, 2024 • 25
On the Diagram of Thought

Paper • 2409.10038 • Published Sep 16, 2024 • 14

Perception and abstraction. Each modality is tokenized and embedded into vectors for model to comprehend.

VILA^2: VILA Augmented VILA

Paper • 2407.17453 • Published Jul 24, 2024 • 42
Octopus v4: Graph of language models

Paper • 2404.19296 • Published Apr 30, 2024 • 119
Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26, 2024 • 49
Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

Paper • 2408.15518 • Published Aug 28, 2024 • 43

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 152
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 32
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16, 2024 • 24
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 70

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 152
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 14
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 61
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 49

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