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Language Modeling

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Showing 6951–6975 of 14182 papers

TitleStatusHype
Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements—0
Modeling subjectivity (by Mimicking Annotator Annotation) in toxic comment identification across diverse communities—0
CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection—0
Filter bubbles and affective polarization in user-personalized large language model outputs—0
BERTwich: Extending BERT's Capabilities to Model Dialectal and Noisy Text—0
Longer Fixations, More Computation: Gaze-Guided Recurrent Neural Networks—0
FA Team at the NTCIR-17 UFO Task—0
Large Language Model Can Interpret Latent Space of Sequential RecommenderCode1
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision—0
Increasing The Performance of Cognitively Inspired Data-Efficient Language Models via Implicit Structure BuildingCode0
A Multi-Modal Foundation Model to Assist People with Blindness and Low Vision in Environmental Interaction—0
Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model—0
Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched PromptsCode1
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks—0
Leveraging Language Models to Detect Greenwashing—0
The Impact of Depth on Compositional Generalization in Transformer Language Models—0
Generative retrieval-augmented ontologic graph and multi-agent strategies for interpretive large language model-based materials design—0
Skywork: A More Open Bilingual Foundation ModelCode3
Interpretable-by-Design Text Understanding with Iteratively Generated Concept BottleneckCode0
Integrating Pre-trained Language Model into Neural Machine Translation—0
MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language ModelsCode1
Improving Input-label Mapping with Demonstration Replay for In-context Learning—0
Musical Form Generation—0
FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR PredictionCode1
ROME: Evaluating Pre-trained Vision-Language Models on Reasoning beyond Visual Common SenseCode0
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