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Optimization

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Papers

Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning ACL 2025
Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport ACL 2025
Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport ACL 2025
SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers ACL 2025
Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models ACL 2025
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization ACL 2025
Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient ACL 2025
SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization ACL 2025
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives ACL 2025
CLaSp: In-Context Layer Skip for Self-Speculative Decoding ACL 2025
Learning Sparsity for Effective and Efficient Music Performance Question Answering ACL 2025
FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings ACL 2025
Are Optimal Algorithms Still Optimal? Rethinking Sorting in LLM-Based Pairwise Ranking with Batching and Caching ACL 2025
LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering ACL 2025
Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? A Petroglyph Revisited ACL 2025
Large Vocabulary Size Improves Large Language Models ACL 2025
Drop Dropout on Single Epoch Language Model Pretraining ACL 2025
MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models ACL 2025
Smarter, Not Harder: Training-Free Adaptive Computation for Transformers ACL 2025
Q-Mamba: Towards more efficient Mamba models via post-training quantization ACL 2025
Slamming: Training a Speech Language Model on One GPU in a Day ACL 2025
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting ACL 2025
Assigning Distinct Roles to Quantized and Low-Rank Matrices Toward Optimal Weight Decomposition ACL 2025
Speculative Sampling via Exponential Races ACL 2025
LegoMT2: Selective Asynchronous Sharded Data Parallel Training for Massive Neural Machine Translation ACL 2025