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Artificial Intelligence › Core AI ›

Foundation Models

4,845 papers

Papers per year

Papers

Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies COLING 2024

Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem COLING 2024

Challenges in Pre-Training Graph Neural Networks for Context-Based Fake News Detection: An Evaluation of Current Strategies and Resource Limitations COLING 2024

CLAUSE-ATLAS: A Corpus of Narrative Information to Scale up Computational Literary Analysis COLING 2024

Continual Reinforcement Learning for Controlled Text Generation COLING 2024

Deconstructing In-Context Learning: Understanding Prompts via Corruption COLING 2024

DEEM: Dynamic Experienced Expert Modeling for Stance Detection COLING 2024

DGoT: Dynamic Graph of Thoughts for Scientific Abstract Generation COLING 2024

Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction COLING 2024

Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study COLING 2024

Does ChatGPT Know That It Does Not Know? Evaluating the Black-Box Calibration of ChatGPT COLING 2024

DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures COLING 2024

Dynamic Knowledge Prompt for Chest X-ray Report Generation COLING 2024

Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank COLING 2024

Enhancing Text-to-SQL Capabilities of Large Language Models through Tailored Promptings COLING 2024

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic COLING 2024

EpiGEN: An Efficient Multi-Api Code GENeration Framework under Enterprise Scenario COLING 2024

European Language Grid: One Year after COLING 2024

EvoGrad: A Dynamic Take on the Winograd Schema Challenge with Human Adversaries COLING 2024

Executing Natural Language-Described Algorithms with Large Language Models: An Investigation COLING 2024

Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models COLING 2024

GPT-3.5 for Grammatical Error Correction COLING 2024

GPTEval: A Survey on Assessments of ChatGPT and GPT-4 COLING 2024

GPT-HateCheck: Can LLMs Write Better Functional Tests for Hate Speech Detection? COLING 2024

Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing COLING 2024