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20242026
most citedInvestigating the Synergistic Effects of Dropout and Residual Connections on Language Model Training

1 citations · 1 across the 7 of their papers we have counts for

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cs.CL2026

DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence

DeepSeek-AI, Anyi Xu, Bangcai Lin +315

We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models -- DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSe…

cs.CL2026

Dynamic Adaptive Attention and Supervised Contrastive Learning: A Novel Hybrid Framework for Text Sentiment Classification

Qingyang Li

The exponential growth of user-generated movie reviews on digital platforms has made accurate text sentiment classification a cornerstone task in natural language processing. Tradi…

cs.CL20241 cited

Investigating the Synergistic Effects of Dropout and Residual Connections on Language Model Training

Qingyang Li, Weimao Ke

This paper examines the pivotal role of dropout techniques in mitigating overfitting in language model training. It conducts a comprehensive investigation into the influence of var…

cs.CL20241 cited

Synthetic Dialogue Dataset Generation using LLM Agents

Yelaman Abdullin, Diego Molla-Aliod, Bahadorreza Ofoghi +2

Linear programming (LP) problems are pervasive in real-life applications. However, despite their apparent simplicity, an untrained user may find it difficult to determine the linea…

cs.CL2023

Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios

Lei Lin, Jiayi Fu, Pengli Liu +7

Although chain-of-thought (CoT) prompting combined with language models has achieved encouraging results on complex reasoning tasks, the naive greedy decoding used in CoT prompting…