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Collections including paper arxiv:2509.04185

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 68
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 21
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3 • 23
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31 • 4

Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers

Paper • 2504.20752 • Published Apr 29 • 92
Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math

Paper • 2504.21233 • Published Apr 30 • 49
AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model

Paper • 2211.11363 • Published Nov 21, 2022 • 1
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 50

Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Paper • 2410.09335 • Published Oct 12, 2024 • 17
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning

Paper • 2410.06456 • Published Oct 9, 2024 • 37
Emergent properties with repeated examples

Paper • 2410.07041 • Published Oct 9, 2024 • 8
Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9, 2024 • 70

speed efficiency gains

Set Block Decoding is a Language Model Inference Accelerator

Paper • 2509.04185 • Published Sep 4 • 52

inference optimization

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression

Paper • 2501.16372 • Published Jan 23 • 12
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models

Paper • 2501.16937 • Published Jan 28 • 7
Matryoshka Quantization

Paper • 2502.06786 • Published Feb 10 • 32
Identifying Sensitive Weights via Post-quantization Integral

Paper • 2503.01901 • Published Feb 28 • 8

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

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30 • 68
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3 • 21
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3 • 23
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31 • 4

speed efficiency gains

Set Block Decoding is a Language Model Inference Accelerator

Paper • 2509.04185 • Published Sep 4 • 52

Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers

Paper • 2504.20752 • Published Apr 29 • 92
Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math

Paper • 2504.21233 • Published Apr 30 • 49
AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model

Paper • 2211.11363 • Published Nov 21, 2022 • 1
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 50

inference optimization

Low-Rank Adapters Meet Neural Architecture Search for LLM Compression

Paper • 2501.16372 • Published Jan 23 • 12
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models

Paper • 2501.16937 • Published Jan 28 • 7
Matryoshka Quantization

Paper • 2502.06786 • Published Feb 10 • 32
Identifying Sensitive Weights via Post-quantization Integral

Paper • 2503.01901 • Published Feb 28 • 8

Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Paper • 2410.09335 • Published Oct 12, 2024 • 17
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning

Paper • 2410.06456 • Published Oct 9, 2024 • 37
Emergent properties with repeated examples

Paper • 2410.07041 • Published Oct 9, 2024 • 8
Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9, 2024 • 70

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

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