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In-Context Learning

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Showing 1551–1600 of 2297 papers

TitleStatusHype
Enhancing In-context Learning via Linear Probe CalibrationCode1
An Empirical Study of In-context Learning in LLMs for Machine TranslationCode0
In-Context Learning for Extreme Multi-Label ClassificationCode3
Revisiting Demonstration Selection Strategies in In-Context LearningCode1
In-context Learning with Retrieved Demonstrations for Language Models: A Survey—0
Identifying and Analyzing Task-Encoding Tokens in Large Language Models—0
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and RecencyCode0
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMsCode1
Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation—0
Leveraging Biases in Large Language Models: "bias-kNN'' for Effective Few-Shot Learning—0
The Gaps between Pre-train and Downstream Settings in Bias Evaluation and Debiasing—0
Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directions—0
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical AssistanceCode7
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models—0
Misconfidence-based Demonstration Selection for LLM In-Context Learning—0
Mind Your Format: Towards Consistent Evaluation of In-Context Learning ImprovementsCode0
Batch-ICL: Effective, Efficient, and Order-Agnostic In-Context LearningCode1
The Unreasonable Effectiveness of Easy Training Data for Hard TasksCode1
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning—0
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation—0
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering—0
Leveraging Print Debugging to Improve Code Generation in Large Language Models—0
SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning—0
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table UnderstandingCode2
Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection—0
Grimoire is All You Need for Enhancing Large Language ModelsCode2
Human-Instruction-Free LLM Self-Alignment with Limited Samples—0
Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task—0
Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks—0
MobileAgent: enhancing mobile control via human-machine interaction and SOP integrationCode1
DIALIGHT: Lightweight Multilingual Development and Evaluation of Task-Oriented Dialogue Systems with Large Language ModelsCode1
On Scaling Up a Multilingual Vision and Language Model—0
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language ModelsCode1
The Earth is Flat? Unveiling Factual Errors in Large Language Models—0
A Computational Framework for Behavioral Assessment of LLM TherapistsCode1
Overview of the PromptCBLUE Shared Task in CHIP2023Code2
Grounding-Prompter: Prompting LLM with Multimodal Information for Temporal Sentence Grounding in Long Videos—0
Improving In-context Learning via Bidirectional Alignment—0
How Robust are LLMs to In-Context Majority Label Bias?—0
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation—0
Supervised Knowledge Makes Large Language Models Better In-context LearnersCode0
RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k RecommendationCode1
EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data—0
On Task Performance and Model Calibration with Supervised and Self-Ensembled In-Context LearningCode0
Generative Multimodal Models are In-Context LearnersCode3
Benchmarking and Analyzing In-context Learning, Fine-tuning and Supervised Learning for Biomedical Knowledge Curation: a focused study on chemical entities of biological interest—0
Fine-tuning Large Language Models for Adaptive Machine TranslationCode1
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios—0
Can Transformers Learn Sequential Function Classes In Context?—0
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation—0
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