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Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages

Status: Open.

#20 In NITIC-J-Murakami-Lab/paper-memo;

· Oya-Tomo opened on Feb 22, 2025

QLoRA: Efficient Finetuning of Quantized LLMs

Status: Open.

#19 In NITIC-J-Murakami-Lab/paper-memo;

· Oya-Tomo opened on Feb 14, 2025

VeRA: Vector-based Random Matrix Adaptation

Status: Open.

#18 In NITIC-J-Murakami-Lab/paper-memo;

· Oya-Tomo opened on Feb 13, 2025

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Status: Open.

#17 In NITIC-J-Murakami-Lab/paper-memo;

· Oya-Tomo opened on Feb 12, 2025

LoRA-FA: Memory-efficient Low-rank Adaptation for Large Language Models Fine-tuning

Status: Open.

#16 In NITIC-J-Murakami-Lab/paper-memo;

· Oya-Tomo opened on Jan 29, 2025

Transformer2: Self-adaptive LLMs

Status: Open.

#15 In NITIC-J-Murakami-Lab/paper-memo;

· Oya-Tomo opened on Jan 24, 2025

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Status: Open.

#14 In NITIC-J-Murakami-Lab/paper-memo;

· Oya-Tomo opened on Jan 23, 2025

Emergence of Hidden Capabilities:Exploring Learning Dynamics in Concept Space

Status: Open.

#13 In NITIC-J-Murakami-Lab/paper-memo;

· Oya-Tomo opened on Jan 22, 2025

Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

Status: Open.

#12 In NITIC-J-Murakami-Lab/paper-memo;

· Oya-Tomo opened on Jan 20, 2025

Parameter-Efficient Transfer Learning for NLP

Status: Open.

#11 In NITIC-J-Murakami-Lab/paper-memo;

· Oya-Tomo opened on Jan 20, 2025

High-Resolution Image Synthesis with Latent Diffusion Models

Status: Open.

#10 In NITIC-J-Murakami-Lab/paper-memo;

· Oya-Tomo opened on Jan 16, 2025

FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning

Status: Open.

#9 In NITIC-J-Murakami-Lab/paper-memo;

· Oya-Tomo opened on Jan 16, 2025