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In-Context Learning

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TitleStatusHype
Think from Words(TFW): Initiating Human-Like Cognition in Large Language Models Through Think from Words for Japanese Text-level Classification—0
ThinkSum: Probabilistic reasoning over sets using large language models—0
Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition—0
TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation—0
ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph—0
A Complete Survey on Contemporary Methods, Emerging Paradigms and Hybrid Approaches for Few-Shot Learning—0
Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks—0
Towards Automated Functional Equation Proving: A Benchmark Dataset and A Domain-Specific In-Context Agent—0
Towards Autonomous Agents: Adaptive-planning, Reasoning, and Acting in Language Models—0
Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization—0
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification—0
Towards Effective Disambiguation for Machine Translation with Large Language Models—0
Towards Few-Shot Identification of Morality Frames using In-Context Learning—0
Towards Global Optimal Visual In-Context Learning Prompt Selection—0
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning—0
Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learning—0
Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models—0
Towards More Unified In-context Visual Understanding—0
Towards Multi-modal Graph Large Language Model—0
Towards Multimodal In-Context Learning for Vision & Language Models—0
Towards Neural No-Resource Language Translation: A Comparative Evaluation of Approaches—0
Towards No-Code Programming of Cobots: Experiments with Code Synthesis by Large Code Models for Conversational Programming—0
Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data—0
Towards Predicting Any Human Trajectory In Context—0
Towards Robust Prompts on Vision-Language Models—0
Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models—0
Towards Secure Program Partitioning for Smart Contracts with LLM's In-Context Learning—0
Towards the Effect of Examples on In-Context Learning: A Theoretical Case Study—0
Towards Understanding the Relationship between In-context Learning and Compositional Generalization—0
Toward Understanding In-context vs. In-weight Learning—0
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems—0
TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules—0
Trained Transformers Learn Linear Models In-Context—0
Training Dynamics of In-Context Learning in Linear Attention—0
Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality—0
Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs—0
Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis—0
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?—0
Training Plug-n-Play Knowledge Modules with Deep Context Distillation—0
Transfer Learning Beyond Bounded Density Ratios—0
Transformer-Based Fault-Tolerant Control for Fixed-Wing UAVs Using Knowledge Distillation and In-Context Adaptation—0
Transformer-based Wireless Symbol Detection Over Fading Channels—0
On Understanding Attention-Based In-Context Learning for Categorical Data—0
Transformer learns the cross-task prior and regularization for in-context learning—0
Transformers are Deep Optimizers: Provable In-Context Learning for Deep Model Training—0
Transformers are Minimax Optimal Nonparametric In-Context Learners—0
Transformers Are Universally Consistent—0
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models—0
Transformers for Supervised Online Continual Learning—0
Transformers generalize differently from information stored in context vs in weights—0
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