Large Language Models

Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models NeurIPS 2024 Differentially Private Next-Token Prediction of Large Language Models NAACL 2024 Differentially Private Synthetic Data via Foundation Model APIs 2: Text ICML 2024 Diffusion Language Models Are Versatile Protein Learners ICML 2024 Digital Socrates: Evaluating LLMs through Explanation Critiques ACL 2024 DIMSIM: Distilled Multilingual Critics for Indic Text Simplification ACL 2024 DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation AAAI 2024 Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation ACL 2024 Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint ACL 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 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 Distinguishing the Knowable from the Unknowable with Language Models ICML 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