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Collections including paper arxiv:2406.14629

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 67
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 125
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 85

Internal Consistency and Self-Feedback in Large Language Models: A Survey

Paper • 2407.14507 • Published Jul 19 • 44
New Desiderata for Direct Preference Optimization

Paper • 2407.09072 • Published Jul 12 • 9
Self-Recognition in Language Models

Paper • 2407.06946 • Published Jul 9 • 24
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?

Paper • 2407.04842 • Published Jul 5 • 52

Interesting Papers

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs

Paper • 2407.00653 • Published Jun 30 • 11
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs

Paper • 2406.20086 • Published Jun 28 • 3
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI

Paper • 2407.00106 • Published Jun 27 • 5
MIRAI: Evaluating LLM Agents for Event Forecasting

Paper • 2407.01231 • Published Jul 1 • 15

Model Training - Learning Scheme

Instruction Pre-Training: Language Models are Supervised Multitask Learners

Paper • 2406.14491 • Published Jun 20 • 85
Pre-training Small Base LMs with Fewer Tokens

Paper • 2404.08634 • Published Apr 12 • 33
Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training

Paper • 2405.15319 • Published May 24 • 25
Can LLMs Learn by Teaching? A Preliminary Study

Paper • 2406.14629 • Published Jun 20 • 17

Unlocking Continual Learning Abilities in Language Models

Paper • 2406.17245 • Published Jun 25 • 28
Can Few-shot Work in Long-Context? Recycling the Context to Generate Demonstrations

Paper • 2406.13632 • Published Jun 19 • 5
Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding

Paper • 2406.19263 • Published Jun 27 • 9
Can LLMs Learn by Teaching? A Preliminary Study

Paper • 2406.14629 • Published Jun 20 • 17

Large Language Model Unlearning via Embedding-Corrupted Prompts

Paper • 2406.07933 • Published Jun 12 • 6
Block Transformer: Global-to-Local Language Modeling for Fast Inference

Paper • 2406.02657 • Published Jun 4 • 36
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning

Paper • 2406.12050 • Published Jun 17 • 17
How Do Large Language Models Acquire Factual Knowledge During Pretraining?

Paper • 2406.11813 • Published Jun 17 • 29

Papers from the NICS-EFFALG Team

Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding

Paper • 2307.15337 • Published Jul 28, 2023 • 36
DiTFastAttn: Attention Compression for Diffusion Transformer Models

Paper • 2406.08552 • Published Jun 12 • 22
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation

Paper • 2406.02540 • Published Jun 4 • 1
Can LLMs Learn by Teaching? A Preliminary Study

Paper • 2406.14629 • Published Jun 20 • 17

Understanding LLM

A Language Model's Guide Through Latent Space

Paper • 2402.14433 • Published Feb 22 • 1
The Hidden Space of Transformer Language Adapters

Paper • 2402.13137 • Published Feb 20
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models

Paper • 2402.16438 • Published Feb 26
AtP*: An efficient and scalable method for localizing LLM behaviour to components

Paper • 2403.00745 • Published Mar 1 • 11

Learning from feedback dir

Suppressing Pink Elephants with Direct Principle Feedback

Paper • 2402.07896 • Published Feb 12 • 9
Policy Improvement using Language Feedback Models

Paper • 2402.07876 • Published Feb 12 • 5
Direct Language Model Alignment from Online AI Feedback

Paper • 2402.04792 • Published Feb 7 • 27
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models

Paper • 2401.01335 • Published Jan 2 • 64

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