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Neural Network Optimization

3648 directly classified papers

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Papers

Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation EMNLP 2025
Accelerate Parallelizable Reasoning via Parallel Decoding within One Sequence EMNLP 2025
DoDS-IITPKD:Submissions to the WMT25 Low-Resource Indic Language Translation Task EMNLP 2025
A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation EMNLP 2025
Exploring and Controlling Diversity in LLM-Agent Conversation EMNLP 2025
Rethinking the Role of Text Complexity in Language Model Pretraining EMNLP 2025
UniMath-CoT: A Unified Framework for Multimodal Mathematical Reasoning with Re-Inference Affirmation EMNLP 2025
Disentangling Mathematical Reasoning in LLMs: A Methodological Investigation of Internal Mechanisms EMNLP 2025
Think Clearly: Improving Reasoning via Redundant Token Pruning EMNLP 2025
SwiftPrune: Hessian-Free Weight Pruning for Large Language Models EMNLP 2025
Language Models Can Easily Learn to Reason from Demonstrations EMNLP 2025
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning EMNLP 2025
Training compute-optimal transformer encoder models EMNLP 2025
Fin-ExBERT: User Intent based Text Extraction in Financial Context using Graph-Augmented BERT and trainable Plugin EMNLP 2025
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025
How Does DPO Reduce Toxicity? A Mechanistic Neuron-Level Analysis EMNLP 2025
ThinkTuning: Instilling Cognitive Reflections without Distillation EMNLP 2025
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning EMNLP 2025
AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training EMNLP 2025
Towards Infinite-Long Prefix in Transformer EMNLP 2025
MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm ICCV 2025
iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use EMNLP 2025
MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper EMNLP 2025
Breaking the Attention Trap in Code LLMs: A Rejection Sampling Approach to Enhance Code Execution Prediction EMNLP 2025
ModRWKV: Transformer Multimodality in Linear Time EMNLP 2025