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In-Context Learning

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TitleStatusHype
GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction—0
GrounDial: Human-norm Grounded Safe Dialog Response Generation—0
Grounding-Prompter: Prompting LLM with Multimodal Information for Temporal Sentence Grounding in Long Videos—0
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations—0
Guideline Learning for In-context Information Extraction—0
Hacia la interpretabilidad de la detección anticipada de riesgos de depresión utilizando grandes modelos de lenguaje—0
Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification—0
Harnessing the Intrinsic Knowledge of Pretrained Language Models for Challenging Text Classification Settings—0
Retrieval-Augmented Hierarchical in-Context Reinforcement Learning and Hindsight Modular Reflections for Task Planning with LLMs—0
Hijacking Context in Large Multi-modal Models—0
Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks—0
HINT: Hypernetwork Instruction Tuning for Efficient Zero- & Few-Shot Generalisation—0
HiPPO-Prophecy: State-Space Models can Provably Learn Dynamical Systems in Context—0
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model—0
Hot PATE: Private Aggregation of Distributions for Diverse Task—0
How Aligned are Generative Models to Humans in High-Stakes Decision-Making?—0
How Does In-Context Learning Help Prompt Tuning?—0
Breaking through the learning plateaus of in-context learning in Transformer—0
How Do In-Context Examples Affect Compositional Generalization?—0
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations—0
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment—0
How Good are Commercial Large Language Models on African Languages?—0
How good are Large Language Models on African Languages?—0
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When—0
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?—0
How much reliable is ChatGPT's prediction on Information Extraction under Input Perturbations?—0
How Private is Your Attention? Bridging Privacy with In-Context Learning—0
How Robust are LLMs to In-Context Majority Label Bias?—0
How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models?—0
How Transformers Get Rich: Approximation and Dynamics Analysis—0
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression—0
How well can LLMs Grade Essays in Arabic?—0
How Well Can Transformers Emulate In-context Newton's Method?—0
HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering—0
Human-Instruction-Free LLM Self-Alignment with Limited Samples—0
Human-Timescale Adaptation in an Open-Ended Task Space—0
Hybrid Agents for Image Restoration—0
Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models—0
New Evaluation Paradigm for Lexical Simplification—0
Next-token pretraining implies in-context learning—0
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs—0
No Free Lunch for Defending Against Prefilling Attack by In-Context Learning—0
Not All Layers of LLMs Are Necessary During Inference—0
Uncovering Model Processing Strategies with Non-Negative Per-Example Fisher Factorization—0
NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical Context—0
O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models—0
Octo-planner: On-device Language Model for Planner-Action Agents—0
Off-the-shelf ChatGPT is a Good Few-shot Human Motion Predictor—0
OmniActions: Predicting Digital Actions in Response to Real-World Multimodal Sensory Inputs with LLMs—0
OmniRL: In-Context Reinforcement Learning by Large-Scale Meta-Training in Randomized Worlds—0
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