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

Stabilizing RLHF through Advantage Model and Selective Rehearsal

Statistical Rejection Sampling Improves Preference Optimization

Efficient RLHF: Reducing the Memory Usage of PPO