Co-occurring keywords · papers mentioning both
Papers
How Susceptible are Large Language Models to Ideological Manipulation?
EMNLP 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
ACL 2024
HRVDA: High-Resolution Visual Document Assistant
CVPR 2024
HumanRankEval: Automatic Evaluation of LMs as Conversational Assistants
NAACL 2024
IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus
ACL 2024
Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models
EMNLP 2024
Improving Automatic VQA Evaluation Using Large Language Models
AAAI 2024
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model
EMNLP 2024
In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models
EMNLP 2024
IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages
ACL 2024
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
EMNLP 2024
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions
NAACL 2024
Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance
ACL 2024
InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis
NAACL 2024
InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models
ACL 2024
InstructCoder: Instruction Tuning Large Language Models for Code Editing
ACL 2024
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
ICLR 2024
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions
AAAI 2024
InstructEdit: Instruction-Based Knowledge Editing for Large Language Models
IJCAI 2024
InstructEval: Instruction-Tuned Text Evaluator from Human Preference
ACL 2024
InstructEval: Towards Holistic Evaluation of Instruction-Tuned Large Language Models
EACL 2024
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
ACL 2024
Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks
EMNLP 2024
Instruction Pre-Training: Language Models are Supervised Multitask Learners
EMNLP 2024
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
NAACL 2024