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Resources & Methods

16,196 papers (36 classified directly here)

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Papers (including subtopics)

Disambiguate Words like Composing Them: A Morphology-Informed Approach to Enhance Chinese Word Sense Disambiguation ACL 2024 Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint ACL 2024 Discovering Knowledge-Critical Subnetworks in Pretrained Language Models EMNLP 2024 Discovering Preference Optimization Algorithms with and for Large Language Models NeurIPS 2024 Discovery of the Hidden World with Large Language Models NeurIPS 2024 Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models’ Understanding of Discourse Relations ACL 2024 Disinformation Capabilities of Large Language Models ACL 2024 Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction ACL 2024 DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models NeurIPS 2024 Dissecting Fine-Tuning Unlearning in Large Language Models EMNLP 2024 Dissecting learning and forgetting in language model finetuning ICLR 2024 Dissecting Paraphrases: The Impact of Prompt Syntax and supplementary Information on Knowledge Retrieval from Pretrained Language Models NAACL 2024 Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning EMNLP 2024 Distilling Text Style Transfer With Self-Explanation From LLMs NAACL 2024 DistillMIKE: Editing Distillation of Massive In-Context Knowledge Editing in Large Language Models ACL 2024 Distinguishing the Knowable from the Unknowable with Language Models ICML 2024 Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics ACL 2024 Distributional Properties of Subword Regularization EMNLP 2024 DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving OSDI 2024 Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization EACL 2024 Divergences between Language Models and Human Brains NeurIPS 2024 Diverse Yet Biased: Towards Mitigating Biases in Generative AI (Student Abstract) AAAI 2024 Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models EMNLP 2024 DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations NAACL 2024 D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models NeurIPS 2024