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Papers (including subtopics)

Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning? ICML 2024 Can Modelling Inter-Rater Ambiguity Lead To Noise-Robust Continuous Emotion Predictions? Interspeech 2024 Canonical Status and Literary Influence: A Comparative Study of Danish Novels from the Modern Breakthrough (1870–1900) EMNLP 2024 Can Transformers Smell Like Humans? NeurIPS 2024 Can We Continually Edit Language Models? On the Knowledge Attenuation in Sequential Model Editing ACL 2024 Can We Evaluate Domain Adaptation Models Without Target-Domain Labels? ICLR 2024 Can We Identify Stance without Target Arguments? A Study for Rumour Stance Classification COLING 2024 Can You Learn Semantics Through Next-Word Prediction? The Case of Entailment ACL 2024 Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders ACL 2024 CAP: A Context-Aware Neural Predictor for NAS IJCAI 2024 CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation CVPR 2024 Capturing Closely Interacted Two-Person Motions with Reaction Priors CVPR 2024 Capturing Knowledge Graphs and Rules with Octagon Embeddings IJCAI 2024 Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks NAACL 2024 Capturing the denoising effect of PCA via compression ratio NeurIPS 2024 Capturing the Relationship Between Sentence Triplets for LLM and Human-Generated Texts to Enhance Sentence Embeddings EACL 2024 Cardinality-Aware Set Prediction and Top-k Classification NeurIPS 2024 CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes NeurIPS 2024 CareCorpus: A Corpus of Real-World Solution-Focused Caregiver Strategies for Personalized Pediatric Rehabilitation Service Design COLING 2024 CareCorpus+: Expanding and Augmenting Caregiver Strategy Data to Support Pediatric Rehabilitation EMNLP 2024 CARE: Extracting Experimental Findings From Clinical Literature NAACL 2024 CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction EMNLP 2024 CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process ICML 2024 CARTE: Pretraining and Transfer for Tabular Learning ICML 2024 CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection AAAI 2024