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20232026
most citedFrom Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence

1 citations · 2 across the 16 of their papers we have counts for

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cs.CL2026

Cache-Aware Joint Router Adaptation for Memory-Efficient MoE Inference

Zhenhe Wu, Yaping Jin, Qinghua Xing +6

Mixture-of-Experts (MoE) models activate few experts per token, yet their full expert sets can exceed GPU memory and require repeated weight transfers during decoding. We formulate…

cs.CL2026

A Large-Scale Multi-Dimensional Empirical Study of LLMs for Conversation Summarization

Weixiao Zhou, Gengyao Li, Junnan Zhu +3

Despite the significant advancement of LLMs in conversation summarization, their evaluation remains limited by insufficient scenarios, input lengths, and sample sizes. Furthermore,…

cs.CE2026

FinanceComplexQA: Benchmarking Agentic Reasoning on Industrial-grade Financial Documents

Xianfu Cheng, Shiwei Zhang, Jiyu Zhao +10

Agentic Reasoning has become a transformative force in financial analysis due to its ability to integrate large-scale information and generate reliable and accurate content. Howeve…

cs.MM2026

Mixture of Disentangled Experts with Missing Modalities for Robust Multimodal Sentiment Analysis

Xiang Li, Xiaoming Zhang, Dezhuang Miao +4

Multimodal Sentiment Analysis (MSA) integrates multiple modalities to infer human sentiment, but real-world noise often leads to missing or corrupted data. However, existing featur…

cs.CL2026

NL2Repo-Bench: Towards Long-Horizon Repository Generation Evaluation of Coding Agents

Jingzhe Ding, Shengda Long, Changxin Pu +46

Recent advances in coding agents suggest rapid progress toward autonomous software development, yet existing benchmarks fail to rigorously evaluate the long-horizon capabilities re…