Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation Paper • 2308.07931 • Published Jul 27, 2023 • 5
Teach LLMs to Personalize -- An Approach inspired by Writing Education Paper • 2308.07968 • Published Aug 15, 2023 • 24
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models Paper • 2308.07922 • Published Aug 15, 2023 • 16
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification Paper • 2308.07921 • Published Aug 15, 2023 • 20
Platypus: Quick, Cheap, and Powerful Refinement of LLMs Paper • 2308.07317 • Published Aug 14, 2023 • 22
OctoPack: Instruction Tuning Code Large Language Models Paper • 2308.07124 • Published Aug 14, 2023 • 27
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents Paper • 2308.05960 • Published Aug 11, 2023 • 18
Accelerating LLM Inference with Staged Speculative Decoding Paper • 2308.04623 • Published Aug 8, 2023 • 20
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Paper • 2308.05374 • Published Aug 10, 2023 • 24
Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI Paper • 2308.05221 • Published Aug 9, 2023 • 8
Simple synthetic data reduces sycophancy in large language models Paper • 2308.03958 • Published Aug 7, 2023 • 20
Tiny LVLM-eHub: Early Multimodal Experiments with Bard Paper • 2308.03729 • Published Aug 7, 2023 • 9
Studying Large Language Model Generalization with Influence Functions Paper • 2308.03296 • Published Aug 7, 2023 • 9
TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents Paper • 2308.03427 • Published Aug 7, 2023 • 13
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition Paper • 2308.03279 • Published Aug 7, 2023 • 19
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology Paper • 2308.02180 • Published Aug 4, 2023 • 9
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization Paper • 2308.02151 • Published Aug 4, 2023 • 18
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities Paper • 2308.02490 • Published Aug 4, 2023 • 15
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation Paper • 2308.00906 • Published Aug 2, 2023 • 12
Multimodal Neurons in Pretrained Text-Only Transformers Paper • 2308.01544 • Published Aug 3, 2023 • 14
Scaling Relationship on Learning Mathematical Reasoning with Large Language Models Paper • 2308.01825 • Published Aug 3, 2023 • 19
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models Paper • 2308.01390 • Published Aug 2, 2023 • 30
DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales Paper • 2308.01320 • Published Aug 2, 2023 • 42
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning Paper • 2308.00436 • Published Aug 1, 2023 • 20
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models Paper • 2308.00304 • Published Aug 1, 2023 • 22
Three Bricks to Consolidate Watermarks for Large Language Models Paper • 2308.00113 • Published Jul 26, 2023 • 13
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models Paper • 2308.00675 • Published Aug 1, 2023 • 34
Guiding Image Captioning Models Toward More Specific Captions Paper • 2307.16686 • Published Jul 31, 2023 • 14
LLM-Rec: Personalized Recommendation via Prompting Large Language Models Paper • 2307.15780 • Published Jul 24, 2023 • 23
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control Paper • 2307.15818 • Published Jul 28, 2023 • 26
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs Paper • 2307.16789 • Published Jul 31, 2023 • 94
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback Paper • 2307.15217 • Published Jul 27, 2023 • 34
Robust Distortion-free Watermarks for Language Models Paper • 2307.15593 • Published Jul 28, 2023 • 7
Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition Paper • 2307.14535 • Published Jul 26, 2023 • 12
PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback Paper • 2307.14936 • Published Jul 27, 2023 • 41
Measuring Faithfulness in Chain-of-Thought Reasoning Paper • 2307.13702 • Published Jul 17, 2023 • 26
WebArena: A Realistic Web Environment for Building Autonomous Agents Paper • 2307.13854 • Published Jul 25, 2023 • 20
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences Paper • 2307.14225 • Published Jul 26, 2023 • 7
ARB: Advanced Reasoning Benchmark for Large Language Models Paper • 2307.13692 • Published Jul 25, 2023 • 17
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition Paper • 2307.13269 • Published Jul 25, 2023 • 29
Prompting Large Language Models with Speech Recognition Abilities Paper • 2307.11795 • Published Jul 21, 2023 • 15
Evaluating the Ripple Effects of Knowledge Editing in Language Models Paper • 2307.12976 • Published Jul 24, 2023 • 10
RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment Paper • 2307.12950 • Published Jul 24, 2023 • 9
Question Decomposition Improves the Faithfulness of Model-Generated Reasoning Paper • 2307.11768 • Published Jul 17, 2023 • 11
Optimized Network Architectures for Large Language Model Training with Billions of Parameters Paper • 2307.12169 • Published Jul 22, 2023 • 9
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis Paper • 2307.12856 • Published Jul 24, 2023 • 34
Instruction-following Evaluation through Verbalizer Manipulation Paper • 2307.10558 • Published Jul 20, 2023 • 3
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets Paper • 2307.10928 • Published Jul 20, 2023 • 11