:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Xinliang Frederick, Blum, Carter, Choji, Temma, Shah, Shalin, Vempala, Alakananda
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	https://arxiv.org/abs/2401.13218
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MOKA: Moral Knowledge Augmentation for Moral Event Extraction
par: Zhang, Xinliang Frederick, et autres
Publié: (2023)

Multi-Document Financial Question Answering using LLMs
par: Shah, Shalin, et autres
Publié: (2024)

Event Argument Extraction with Enriched Prompts
par: Liang, Chen
Publié: (2025)

Event-Arguments Extraction Corpus and Modeling using BERT for Arabic
par: Aljabari, Alaa, et autres
Publié: (2024)

TSUBASA: Improving Long-Horizon Personalization via Evolving Memory and Self-Learning with Context Distillation
par: Zhang, Xinliang Frederick, et autres
Publié: (2026)

Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction
par: Liu, Wanlong, et autres
Publié: (2024)

BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation
par: Du, Dayou, et autres
Publié: (2024)

Calibrated Language Models Must Hallucinate
par: Kalai, Adam Tauman, et autres
Publié: (2023)

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments
par: Guida, Matteo, et autres
Publié: (2025)

One Small and One Large for Document-level Event Argument Extraction
par: Peng, Jiaren, et autres
Publié: (2024)

REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction
par: Sharif, Omar, et autres
Publié: (2025)

A Compressive Memory-based Retrieval Approach for Event Argument Extraction
par: Liu, Wanlong, et autres
Publié: (2024)

Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments
par: Sharif, Omar, et autres
Publié: (2024)

Generating Uncontextualized and Contextualized Questions for Document-Level Event Argument Extraction
par: Uddin, Md Nayem, et autres
Publié: (2024)

SRAG: RAG with Structured Data Improves Vector Retrieval
par: Shah, Shalin, et autres
Publié: (2026)

A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction
par: Zhang, Jian, et autres
Publié: (2024)

MMUTF: Multimodal Multimedia Event Argument Extraction with Unified Template Filling
par: Seeberger, Philipp, et autres
Publié: (2024)

PRIME: Large Language Model Personalization with Cognitive Dual-Memory and Personalized Thought Process
par: Zhang, Xinliang Frederick, et autres
Publié: (2025)

Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives
par: Zhang, Xinliang Frederick, et autres
Publié: (2024)

Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models
par: Zhang, Che, et autres
Publié: (2024)

LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction
par: Zhou, Hanzhang, et autres
Publié: (2023)

The World of Generative AI: Deepfakes and Large Language Models
par: Mitra, Alakananda, et autres
Publié: (2024)

Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement
par: Ding, Peng, et autres
Publié: (2025)

Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs
par: Christophe, Clément, et autres
Publié: (2024)

Utilizing Contextual Clues and Role Correlations for Enhancing Document-level Event Argument Extraction
par: Liu, Wanlong, et autres
Publié: (2023)

DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying
par: Wang, Guanghui, et autres
Publié: (2024)

Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting
par: Liu, Siyi, et autres
Publié: (2024)

Enhancing Document-level Argument Extraction with Definition-augmented Heuristic-driven Prompting for LLMs
par: Sun, Tongyue, et autres
Publié: (2024)

MPPO: Multi Pair-wise Preference Optimization for LLMs with Arbitrary Negative Samples
par: Xie, Shuo, et autres
Publié: (2024)

It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization
par: Li, Bingdong, et autres
Publié: (2024)

Why Language Models Hallucinate
par: Kalai, Adam Tauman, et autres
Publié: (2025)

SciEvent: Benchmarking Multi-domain Scientific Event Extraction
par: Dong, Bofu, et autres
Publié: (2025)

Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context
par: Yu, Sangwon, et autres
Publié: (2024)

Instruction-Tuning LLMs for Event Extraction with Annotation Guidelines
par: Srivastava, Saurabh, et autres
Publié: (2025)

Evaluating the Deductive Competence of Large Language Models
par: Seals, Spencer M., et autres
Publié: (2023)

Learning to Refine: Self-Refinement of Parallel Reasoning in LLMs
par: Wang, Qibin, et autres
Publié: (2025)

Exploring the Potential of Large Language Models in Computational Argumentation
par: Chen, Guizhen, et autres
Publié: (2023)

Argument-Aware Approach To Event Linking
par: Hsu, I-Hung, et autres
Publié: (2024)

Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models
par: Zhao, Shitian, et autres
Publié: (2024)

A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential
par: Tang, Wei, et autres
Publié: (2024)