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Collections including paper arxiv:2410.01044

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 • 41
Octopus v4: Graph of language models

Paper • 2404.19296 • Published Apr 30, 2024 • 118
Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26, 2024 • 48
Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

Paper • 2408.15518 • Published Aug 28, 2024 • 42

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Paper • 2409.10516 • Published Sep 16, 2024 • 43
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 • 23
On the Diagram of Thought

Paper • 2409.10038 • Published Sep 16, 2024 • 14

DS' Daily paper

Instruction Pre-Training: Language Models are Supervised Multitask Learners

Paper • 2406.14491 • Published Jun 20, 2024 • 95
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Paper • 2405.21060 • Published May 31, 2024 • 67
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Paper • 2405.20541 • Published May 30, 2024 • 24
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Paper • 2406.01574 • Published Jun 3, 2024 • 51

Free Process Rewards without Process Labels

Paper • 2412.01981 • Published Dec 2, 2024 • 34
ProcessBench: Identifying Process Errors in Mathematical Reasoning

Paper • 2412.06559 • Published Dec 9, 2024 • 84
RATIONALYST: Pre-training Process-Supervision for Improving Reasoning

Paper • 2410.01044 • Published Oct 1, 2024 • 36
Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision

Paper • 2411.16579 • Published Nov 25, 2024 • 3

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 44
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis

Paper • 2402.14797 • Published Feb 22, 2024 • 21
Subobject-level Image Tokenization

Paper • 2402.14327 • Published Feb 22, 2024 • 19
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Paper • 2402.14905 • Published Feb 22, 2024 • 134
GPTVQ: The Blessing of Dimensionality for LLM Quantization

Paper • 2402.15319 • Published Feb 23, 2024 • 22

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 • 41
Octopus v4: Graph of language models

Paper • 2404.19296 • Published Apr 30, 2024 • 118
Octo-planner: On-device Language Model for Planner-Action Agents

Paper • 2406.18082 • Published Jun 26, 2024 • 48
Dolphin: Long Context as a New Modality for Energy-Efficient On-Device Language Models

Paper • 2408.15518 • Published Aug 28, 2024 • 42

Free Process Rewards without Process Labels

Paper • 2412.01981 • Published Dec 2, 2024 • 34
ProcessBench: Identifying Process Errors in Mathematical Reasoning

Paper • 2412.06559 • Published Dec 9, 2024 • 84
RATIONALYST: Pre-training Process-Supervision for Improving Reasoning

Paper • 2410.01044 • Published Oct 1, 2024 • 36
Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision

Paper • 2411.16579 • Published Nov 25, 2024 • 3

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Paper • 2409.10516 • Published Sep 16, 2024 • 43
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 • 23
On the Diagram of Thought

Paper • 2409.10038 • Published Sep 16, 2024 • 14

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 44
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

DS' Daily paper

Instruction Pre-Training: Language Models are Supervised Multitask Learners

Paper • 2406.14491 • Published Jun 20, 2024 • 95
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Paper • 2405.21060 • Published May 31, 2024 • 67
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Paper • 2405.20541 • Published May 30, 2024 • 24
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Paper • 2406.01574 • Published Jun 3, 2024 • 51

Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis

Paper • 2402.14797 • Published Feb 22, 2024 • 21
Subobject-level Image Tokenization

Paper • 2402.14327 • Published Feb 22, 2024 • 19
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Paper • 2402.14905 • Published Feb 22, 2024 • 134
GPTVQ: The Blessing of Dimensionality for LLM Quantization

Paper • 2402.15319 • Published Feb 23, 2024 • 22

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