Innervu Knowledge Navigator

Efficient Streaming Language Models with Attention Sinks

By Guangxuan Xiao et al
Published on April 7, 2024

Algorithm of Thoughts

By B. Sel et al.
Published on None

Textbooks Are All You Need

By Suriya Gunasekar et al
Published on None

Memory Networks

By Jason Weston et al
Published on Nov. 29, 2015

Distributionally Robust Language Modeling

By Yonatan Oren et al
Published on Sept. 4, 2019

Neural Databases

By James Thorne et al
Published on June 10, 2020

Language Models Represent Space and Time

By Wes Gurnee et al
Published on March 4, 2024

How Is ChatGPT’s Behavior Changing Over Time?

By L. Chen et al
Published on Oct. 31, 2023

The Expressibility of Polynomial Based Attention Scheme

By Zhao Song et al
Published on Oct. 30, 2023

Efficient Neural Query Auto Completion

By S. Wang et al
Published on Oct. 19, 2020

A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

By Y. Bang et al.
Published on Dec. 15, 2022

Becoming Self-Instruct: Introducing Early Stopping Criteria for Minimal Instruct Tuning

By Waseem AlShikh et al
Published on None

Evaluating Natural Language Processing Models with Generalization Metrics that Do Not Need Access to Any Training or Testing Data

By Y. Yang et al.
Published on None

Embeddings in Natural Language Processing Theory and Advances in Vector Representation of Meaning

By Mohammad Taher Pilehvar et al
Published on None

Chain-Of-Thought Prompting Elicits Reasoning in Large Language Models

By Jason Wei et al.
Published on Jan. 10, 2023

Chain-Of-Verification Reduces Hallucination in Large Language Models

By Shehzaad Dhuliawala et al
Published on Sept. 25, 2023

Complexity-Based Prompting for Multi-Step Reasoning

By Y. Fu et al.
Published on Jan. 30, 2023

Improving Language Understanding by Generative Pre-Training

By Alec Radford et al
Published on None

Local Large Language Models for Complex Structured Tasks

By V. K. Cody Bumgardner et al
Published on None

Knowledge Graph Prompting for Multi-Document Question Answering

By Yu Wang et al.
Published on None

The Power of Scale for Parameter-Efficient Prompt Tuning

By Brian Lester et al
Published on Sept. 2, 2021

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

By Sewon Min et al
Published on None

PaLM 2 Technical Report

By Google et al
Published on May 10, 2023

Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models

By L. Xie et al
Published on June 6, 2023

Meaning and Understanding in Large Language Models

By Vladimír Havlík et al
Published on None

Xval: A Continuous Number Encoding for Large Language Models

By Siavash Golkar et al.
Published on Oct. 4, 2023

Let’S Verify Step By Step

By Hunter Lightman et al
Published on None

Superglue: A Stickier Benchmark for General-Purpose Language Understanding Systems

By Alex Wang et al
Published on None

Long LoRA: Efficient Fine-Tuning of Long-Context Large Language Models

By Yukang Chen et al
Published on March 8, 2024

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

By Patrick L., et al
Published on April 12, 2021

Nature Publishing Group1986

By Nature Publishing Group et al
Published on None

Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think – Introducing AIDetectabilityIndex

By Megha Chakraborty et al
Published on None

Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases

By H. Ren et al
Published on None

A VIS: Autonomous Visual Information Seeking with Large Language Model Agent

By Ziniu Hu et al
Published on Nov. 10, 2023

Llama 2: Open Foundation and Fine-Tuned Chat Models

By Hugo Touvron et al
Published on July 19, 2023

Prompt As Parameter-Efficient Fine-Tuning

By Chris Pan et al.
Published on None

Why Think Step by Step? Reasoning Emerges from the Locality of Experience

By Ben Prystawski et al
Published on Nov. 2, 2023

Language Is Not All You Need: Aligning Perception with Language Models

By Shaohan Huang et al
Published on March 1, 2023

Solving Math Word Problems with Process- and Outcome-Based Feedback

By Jonathan Uesato et al
Published on Nov. 28, 2022

Gpqa: A Graduate-Level Google-Proof Q&A Benchmark

By David Rein et al
Published on Nov. 20, 2023

Instruction Tuning for Large Language Models: A Survey

By Shengyu Zhang et al
Published on March 12, 2024

The Reversal Curse: LLMs Trained on “A is B” Fail to Learn “B is A”

By Lukas Berglund et al
Published on Sept. 21, 2023

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

By Sang Michael Xie et al
Published on Nov. 21, 2023

Canlanguage Models Resolve Real-World Githubissues?

By Carlos E. Jimenez et al
Published on April 5, 2024

AI in the Gray: Exploring Moderation Policies in Dialogic Large Language Models vs. Human Answers in Controversial Topics

By Vahid Ghafouri et al.
Published on June 10, 2023

Embedding Recycling for Language Models

By Jon Saad-Falcon et al
Published on None

What In-Context Learning Learns In-Context: Disentangling Task Recognition and Task Learning

By Jane Pan et al.
Published on None

Mistral 7B

By Albert Q. Jiang et al
Published on Oct. 10, 2023

Igniting Language Intelligence: The Hitchhiker’s Guide

By Zhuosheng Zhang et al
Published on Nov. 20, 2023

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

By Jules White et al
Published on Feb. 21, 2023

Precise Zero-Shot Dense Retrieval without Relevance Labels

By Luyu Gao et al
Published on None

Evaluating Large Language Models

By Cs324 et al
Published on Feb. 11, 2024

It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

By Timo Schick et al
Published on None

Language Models Are Few-Shot Learners

By Tom B. et al
Published on July 22, 2020

When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

By Alex Mallen et al.
Published on July 2, 2023

AutoHint: Automatic Prompt Optimization with Hint Generation

By Hong Sun et al
Published on None

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

By Shunyu Yao et al
Published on May 17, 2023

Open Sesame ! Universal Black Boxjailbreaking of Large Language Models

By R. Lapid et al
Published on None

Challenging the Appearance of Machine Intelligence: Cognitive Bias in LLMs and Best Practices for Workplace Adoption

By Alaina N. Talboy et al.
Published on None

Qa-L Ora: Q Uantization -Aware Low-Rank Adaptation Of Large Language Models

By Yuhui Xu et al
Published on None

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models

By Sheng Shen et al
Published on July 5, 2023

MemoNet: Memorizing All Cross Features’ Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction

By Pengtao Zhang et al
Published on Oct. 21, 2023

Mulco: Recognizing Chinese Nested Named Entities Through Multiple Scopes

By Jiuding Yang et al
Published on None

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

By Zihang Dai et al
Published on June 10, 2019

Few-Shot Fine-Tuning vs. In-Context Learning: A Fair Comparison and Evaluation

By Marius Mosbach et al.
Published on None

A Survey on In-context Learning

By Q. Dong et al.
Published on None

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

By Patrick Lewis et al
Published on April 12, 2021

Promptchainer: Chaining Large Language Model Prompts Through Visual Programming

By T. Wu et al.
Published on June 10, 2022

Training Compute-Optimal Large Language Models

By Jordan H, et al
Published on None

Quantum Self-Attention Neural Networks for Text Classification

By Guangxi Li et al
Published on Sept. 29, 2023

Dissecting Recall of Factual Associations in Auto-Regressive Language Models

By Mor Geva et al
Published on None

ActiveGLAE: A Benchmark for Deep Active Learning with Transformers

By L. Rauch et al.
Published on June 16, 2023

Privately Fine-Tuning Large Language Models with Differential Privacy

By R. Behnia et al
Published on None

Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems

By Y. Wan et al.
Published on None

Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations

By Josh A. Goldstein et al
Published on Jan. 10, 2023

Textbooks Are All You Need II

By Y. Li et al
Published on None

Symbol Tuning Improves In-Context Learning in Language Models

By Jerry Wei et al
Published on Jan. 2, 2024

Thelearnability of In-Context Learning

By Noam Wies et al.
Published on March 14, 2023