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Knowledge Distillation

3,086 papers

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Papers

Gamma-Guard: Lightweight Residual Adapters for Robust Guardrails in Large Language Models EMNLP 2025
Process-Supervised Reinforcement Learning for Code Generation EMNLP 2025
QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models EMNLP 2025
Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained Settings EMNLP 2025
Logits-Based Finetuning EMNLP 2025
PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation EMNLP 2025
SAFE: Schema-Driven Approximate Distance Join for Efficient Knowledge Graph Querying EMNLP 2025
Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation EMNLP 2025
UltraIF: Advancing Instruction Following from the Wild EMNLP 2025
Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation EMNLP 2025
VERITAS: Leveraging Vision Priors and Expert Fusion to Improve Multimodal Data EMNLP 2025
Membership and Memorization in LLM Knowledge Distillation EMNLP 2025
Paired by the Teacher: Turning Unpaired Data into High-Fidelity Pairs for Low-Resource Text Generation EMNLP 2025
AcT2I: Evaluating and Improving Action Depiction in Text-to-Image Models EMNLP 2025
Table-R1: Inference-Time Scaling for Table Reasoning Tasks EMNLP 2025
Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs EMNLP 2025
zFLoRA: Zero-Latency Fused Low-Rank Adapters EMNLP 2025
FuseChat: Knowledge Fusion of Chat Models EMNLP 2025
Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models EMNLP 2025
Targeted Distillation for Sentiment Analysis EMNLP 2025
MS-RAG: Simple and Effective Multi-Semantic Retrieval-Augmented Generation EMNLP 2025
DPED: Multi-Layer Noise Distillation for Privacy-Preserving Text Embeddings EMNLP 2025
HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance EMNLP 2025
SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation EMNLP 2025
Leveraging Text-to-Text Transformers as Classifier Chain for Few-Shot Multi-Label Classification EMNLP 2025