A Comprehensive Overview of Large Language Models
A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques
A Focused Backpropagation Algorithm for Temporal Pattern Recognition
A Large-Scale Document-Level Relation Extraction Dataset
A Neural Algorithm of Artistic Style (2015)
A Theory for Emergence of Complex Skills in Language Models (2023)
Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models
Are Large Language Models Geospatially Knowledgeable?
Are Sixteen Heads Really Better than One?
Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
Automatic Stylistic Composition of Bach Chorales With Deep LSTM (2017)
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
BERT Rediscovers the Classical NLP Pipeline
BERT for Classification: Beyond the Next Sentence Prediction Task
BLEU: a method for automatic evaluation of machine translation
COIL: Revisit exact lexical match in information retrieval with contextualized inverted list
Chain of Thought Prompting Elicits Reasoning in Large Language Models
Context-Aware Term Weighting For First Stage Passage Retrieval
Convolutional Neural Networks for Sentence Classification
Crawling the Internal Knowledge-Base of Language Models
Decoding Intelligence: A Framework for Certifying Knowledge Comprehension in LLMs
Deep Contextualized Word Representations
Deep Convolutional Neural Networks (AlexNet)
Deep Reinforcement Learning from Human Preferences
Deep Residual Learning for Image Recognition
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
DeepJ: Style-Specific Music Generation (2018)
Dense Passage Retrieval for Open-Domain Question Answering
Diffusion Models Beat GANs on Image Synthesis
Efficient Estimation of Word Representations in Vector Space
Emergent Abilities of Large Language Models
End-to-End Object Detection with Transformers
Estimating Knowledge in Large Language Models Without Generating a Single Token
FANNG: Fast Approximate Nearest Neighbour Graphs
Fast Inference from Transformers via Speculative Decoding
Finite State Automata and Simple Recurrent Networks
Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap
Functional Decision Theory: A New Theory of Instrumental Rationality
Generating Sequences With Recurrent Neural Networks
Generating Sequences With Recurrent Neural Networks (2014)
GloVe: Global Vectors for Word Representation
Gorilla: Large Language Model Connected with Massive APIs
Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
Guiding Attention with Evidence for Improving Document-Level Relation Extraction (DREEAM)
Harmonizing Music the Boltzmann Way (1994)
HellaSwag: Can a Machine Really Finish Your Sentence?
Hierarchical Attention Networks for Document Classification
High-Resolution Image Synthesis with Latent Diffusion Models
Highly accurate protein structure prediction with AlphaFold
How to Fine Tune Bert for Sequence Classification?
In Search of Needles in a 11M Haystack:Recurrent Memory Finds What LLMs Miss
InstructGPT: Training Language Models to Follow Instructions with Human Feedback
Is Power-Seeking AI an Existential Risk?
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
LAION-5B: An open large-scale dataset for training next generation image-text models
LLaMA: Open and Efficient Foundation Language Models
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling (16/02/2024)
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
Learning Transferable Visual Models From Natural Language Supervision
Learning long-term dependencies with gradient descent is difficult
LongAlign: A Recipe for Long Context Alignment of Large Language Models
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
MarbleNet: Deep 1D Time-Channel Separable Convolutional Neural Network for Voice Activity Detection
Massive Multitask Language Understanding
MemGPT: Towards LLMs as Operating Systems
MiDaS v3.1 – A Model Zoo for Robust Monocular Relative Depth Estimation
Neural Machine Translation by Jointly Learning to Align and Translate
Neural networks and physical systems with emergent collective computational abilities
On the difficulty of training recurrent neural networks
Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions
Powers of 10: Modeling Complex information-seeking systems at multiple scales
Pre-training of Deep Bidirectional Transformers for Language Understanding
Prefix-tuning: Optimizing continuous prompts for generation
Reading Wikipedia to Answer Open-Domain Questions
Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sequence to Sequence Learning with Neural Networks (12/12/2014)
Survey of Hallucination in Natural Language Generation
Taming Transformers for High-Resolution Image Synthesis
The Natural Language Decathlon: Multitask Learning as Question Answering
The Theory of Stochastic Processes, with Particular Reference to Applications
The Unreasonable Effectiveness of Recurrent Neural Networks
The perceptron: A probabilistic model for information storage and organization in the brain
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
Training Compute-Optimal Large Language Models
Training language models to follow instructions with human feedback
Unsupervised Dense Information Retrieval with Contrastive Learning
Unsupervised Topic Segmentation of Meetings with BERT Embeddings
ValueNet: A New Dataset for Human Value Driven Dialogue System
Very deep convolutional networks for large-scale image recognition
Vision Transformers for Dense Prediction
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?
Why think step by step? Reasoning emerges from the locality of experience (2023)
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
YOLO-World: Real-Time Open-Vocabulary Object Detection