Adapting Large Language Models via Reading Comprehension

OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch

PDFTriage: Question Answering over Long, Structured Documents

MindAgent: Emergent Gaming Interaction

Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?

Recovering from Privacy-Preserving Masking with Large Language Models

S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs

Augmenting text for spoken language understanding with Large Language Models

Language Modeling Is Compression

Baichuan 2: Open Large-scale Language Models

Stabilizing RLHF through Advantage Model and Selective Rehearsal

Chain-of-Verification Reduces Hallucination in Large Language Models

LMDX: Language Model-based Document Information Extraction and Localization

SlimPajama-DC: Understanding Data Combinations for LLM Training

Contrastive Decoding Improves Reasoning in Large Language Models

CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

A Data Source for Reasoning Embodied Agents

Leveraging Contextual Information for Effective Entity Salience Detection

LASER: LLM Agent with State-Space Exploration for Web Navigation

Sparse Autoencoders Find Highly Interpretable Features in Language Models

Investigating Answerability of LLMs for Long-Form Question Answering

Scaling Laws for Sparsely-Connected Foundation Models

Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Ambiguity-Aware In-Context Learning with Large Language Models

Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts

Agents: An Open-source Framework for Autonomous Language Agents

Statistical Rejection Sampling Improves Preference Optimization

Large Language Models for Compiler Optimization

AstroLLaMA: Towards Specialized Foundation Models in Astronomy

Large Language Model for Science: A Study on P vs. NP

Efficient Memory Management for Large Language Model Serving with PagedAttention

FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs

When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Neurons in Large Language Models: Dead, N-gram, Positional

Textbooks Are All You Need II: phi-1.5 technical report

DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs

From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

XGen-7B Technical Report

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

GPT Can Solve Mathematical Problems Without a Calculator

Large Language Models as Optimizers

Efficient RLHF: Reducing the Memory Usage of PPO

ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback [Summary]

Llama 2: Open Foundation and Fine-Tuned Chat Models [Commentary]

Challenges and Applications of Large Language Models [Summary]

LoraHub: Efficient Cross-Task Generalization Via Dynamic LoRA Composition [Commentary]

ToolLLM: Facilitating Large Language Models To Master 16000+ Real-World APIs [Commentary]

FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Efficient Guided Generation for Large Language Models

Predicting transcriptional outcomes of novel multigene perturbations with GEARS

A Survey on Model Compression for Large Language Models

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

LLM As DBA

Self-Alignment with Instruction Backtranslation

RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior

BioCoder: A Benchmark for Bioinformatics Code Generation with Contextual Pragmatic Knowledge

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants

Can Programming Languages Boost Each Other via Instruction Tuning?

WeatherBench 2: A benchmark for the next generation of data-driven global weather models

Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records

SoTaNa: The Open-Source Software Development Assistant

Teach LLMs to Personalize -- An Approach inspired by Writing Education

RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models

Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification

The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation

CausalLM is not optimal for in-context learning

Platypus: Quick, Cheap, and Powerful Refinement of LLMs

OctoPack: Instruction Tuning Code Large Language Models

Enhancing Network Management Using Code Generated by Large Language Models

Improving Joint Speech-Text Representations Without Alignment

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents

PIPPA: A Partially Synthetic Conversational Dataset

Self-Alignment with Instruction Backtranslation

OpenProteinSet: Training data for structural biology at scale

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Accelerating LLM Inference with Staged Speculative Decoding

Shepherd: A Critic for Language Model Generation

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

Simple synthetic data reduces sycophancy in large language models

Cure the headache of Transformers via Collinear Constrained Attention

Sparse Autoencoders Find Highly Interpretable Features in Language Models

Scaling Laws for Sparsely-Connected Foundation Models

One Wide Feedforward is All You Need

Vector Search with OpenAI Embeddings: Lucene Is All You Need

Bayesian Flow Networks

YaRN: Efficient Context Window Extension of Large Language Models

LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models

Composable Function-preserving Expansions for Transformer Architectures

Sparse Autoencoders Find Highly Interpretable Features in Language Models