Re3: Generating Longer Stories With Recursive Reprompting and Revision
Paper
•
2210.06774
•
Published
•
2
生成式AI導論 2024
https://www.youtube.com/@HungyiLeeNTU
-
-
Constitutional AI: Harmlessness from AI Feedback
Paper • 2212.08073 • Published • 2 -
AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
Paper • 2402.04253 • Published -
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Paper • 2305.19118 • Published -
CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society
Paper • 2303.17760 • Published • 1 -
Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization
Paper • 2310.02170 • Published • 2 -
MetaGPT: Meta Programming for Multi-Agent Collaborative Framework
Paper • 2308.00352 • Published • 2 -
Generative Agents: Interactive Simulacra of Human Behavior
Paper • 2304.03442 • Published • 11 -
Voyager: An Open-Ended Embodied Agent with Large Language Models
Paper • 2305.16291 • Published • 9 -
RL-GPT: Integrating Reinforcement Learning and Code-as-policy
Paper • 2402.19299 • Published -
MemGPT: Towards LLMs as Operating Systems
Paper • 2310.08560 • Published • 7 -
Large Language Models for Autonomous Driving: Real-World Experiments
Paper • 2312.09397 • Published -
The Rise and Potential of Large Language Model Based Agents: A Survey
Paper • 2309.07864 • Published • 7 -
Efficient Streaming Language Models with Attention Sinks
Paper • 2309.17453 • Published • 13 -
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Paper • 2404.07143 • Published • 103 -
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Paper • 2108.12409 • Published • 5 -
Extending Context Window of Large Language Models via Positional Interpolation
Paper • 2306.15595 • Published • 53 -
RoFormer: Enhanced Transformer with Rotary Position Embedding
Paper • 2104.09864 • Published • 10 -
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 138 -
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 104 -
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
Paper • 2305.14160 • Published • 1 -
Studying Large Language Model Generalization with Influence Functions
Paper • 2308.03296 • Published • 12 -
Pretrained Language Model Embryology: The Birth of ALBERT
Paper • 2010.02480 • Published -
Probing Across Time: What Does RoBERTa Know and When?
Paper • 2104.07885 • Published -
Language Models Represent Space and Time
Paper • 2310.02207 • Published • 1 -
The Internal State of an LLM Knows When its Lying
Paper • 2304.13734 • Published • 3 -
A Comprehensive Study of Knowledge Editing for Large Language Models
Paper • 2401.01286 • Published • 16 -
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations
Paper • 2310.11207 • Published -
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback
Paper • 2305.14975 • Published • 1 -
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
Paper • 2306.13063 • Published -
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting
Paper • 2305.04388 • Published • 1 -
Measuring Massive Multitask Language Understanding
Paper • 2009.03300 • Published • 3 -
On Large Language Models' Selection Bias in Multi-Choice Questions
Paper • 2309.03882 • Published -
Fast Inference from Transformers via Speculative Decoding
Paper • 2211.17192 • Published • 4 -
Accelerating Large Language Model Decoding with Speculative Sampling
Paper • 2302.01318 • Published • 2 -
Inference with Reference: Lossless Acceleration of Large Language Models
Paper • 2304.04487 • Published -
Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations
Paper • 2402.12786 • Published -
Paralinguistics-Enhanced Large Language Modeling of Spoken Dialogue
Paper • 2312.15316 • Published -
Towards General-Purpose Text-Instruction-Guided Voice Conversion
Paper • 2309.14324 • Published -
PromptTTS: Controllable Text-to-Speech with Text Descriptions
Paper • 2211.12171 • Published -
Towards audio language modeling -- an overview
Paper • 2402.13236 • Published -
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models
Paper • 2402.13071 • Published -
Generative Spoken Language Modeling from Raw Audio
Paper • 2102.01192 • Published -
AudioLM: a Language Modeling Approach to Audio Generation
Paper • 2209.03143 • Published -
BASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data
Paper • 2402.08093 • Published • 55 -
Toward Joint Language Modeling for Speech Units and Text
Paper • 2310.08715 • Published • 7 -
SpiRit-LM: Interleaved Spoken and Written Language Model
Paper • 2402.05755 • Published • 12 -
Can Large Language Models Be an Alternative to Human Evaluations?
Paper • 2305.01937 • Published • 2 -
A Closer Look into Automatic Evaluation Using Large Language Models
Paper • 2310.05657 • Published -
Judging LLM-as-a-judge with MT-Bench and Chatbot Arena
Paper • 2306.05685 • Published • 29 -
Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
Paper • 2404.04475 • Published -
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Paper • 2206.04615 • Published • 5 -
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark
Paper • 2304.03279 • Published • 1 -
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Paper • 2303.12712 • Published • 2 -
Evaluating Large Language Models in Theory of Mind Tasks
Paper • 2302.02083 • Published -
Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Paper • 2311.04850 • Published -
Bias and Fairness in Large Language Models: A Survey
Paper • 2309.00770 • Published • 3