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Language Modeling

Papers

Showing 901925 of 14182 papers

TitleStatusHype
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge GraphCode2
Drive Like a Human: Rethinking Autonomous Driving with Large Language ModelsCode2
Generating Benchmarks for Factuality Evaluation of Language ModelsCode2
GPT4RoI: Instruction Tuning Large Language Model on Region-of-InterestCode2
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?Code2
MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information RetrievalCode2
BatGPT: A Bidirectional Autoregessive Talker from Generative Pre-trained TransformerCode2
Towards Language Models That Can See: Computer Vision Through the LENS of Natural LanguageCode2
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language ModelsCode2
RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote SensingCode2
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language ModelsCode2
Valley: Video Assistant with Large Language model Enhanced abilitYCode2
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for FinanceCode2
RETA-LLM: A Retrieval-Augmented Large Language Model ToolkitCode2
K2: A Foundation Language Model for Geoscience Knowledge Understanding and UtilizationCode2
Inference-Time Intervention: Eliciting Truthful Answers from a Language ModelCode2
User Behavior Simulation with Large Language Model based AgentsCode2
Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingCode2
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instructionCode2
Blockwise Parallel Transformer for Large Context ModelsCode2
KoSBi: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model ApplicationCode2
Language Models Can Improve Event Prediction by Few-Shot Abductive ReasoningCode2
ExpertPrompting: Instructing Large Language Models to be Distinguished ExpertsCode2
Adapting Language Models to Compress ContextsCode2
Improving Factuality and Reasoning in Language Models through Multiagent DebateCode2
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