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20242026
most citedSelf-Retrieval: End-to-End Information Retrieval with One Large Language Model

2 citations · 5 across the 20 of their papers we have counts for

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cs.AI2026

Atria Dawn: The Dawn of Agentic Superintelligence

Honglin Guo, Tao Gui, Yicheng Chen +139

As AI agents become participants in the development of their successors, they reshape both the production of intelligence and the role of human researchers. We introduce Atria Dawn…

cs.AI2025

LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools?

Guozhao Mo, Wenliang Zhong, Jiawei Chen +7

Model Context Protocol (MCP) has become a key infrastructure for connecting LLMs with external tools, scaling to 10,000+ MCP servers with diverse tools. Unfortunately, there is sti…

cs.AI2025

PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides

Hao Zheng, Xinyan Guan, Hao Kong +7

Automatically generating presentations from documents is a challenging task that requires accommodating content quality, visual appeal, and structural coherence. Existing methods p…

cs.AI2024★ 1 cited

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering

Xinyan Guan, Yanjiang Liu, Xinyu Lu +8

The evolution of machine learning has increasingly prioritized the development of powerful models and more scalable supervision signals. However, the emergence of foundation models…

cs.AI2024

CRUXEval-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution

Ruiyang Xu, Jialun Cao, Yaojie Lu +6

Code benchmarks such as HumanEval are widely adopted to evaluate Large Language Models' (LLMs) coding capabilities. However, there is an unignorable programming language bias in ex…