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20232026
most citedHumanity's Last Exam

23 citations · 30 across the 19 of their papers we have counts for

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9 papers · 1 filter

cs.HC2026

Is He Extroverted? Identifying Missing Relevant Personas for Faithful User Simulation

Weiwen Su, Yuhan Zhou, Zihan Wang +2

Existing user simulation approaches focus on generating user-like responses in dialogue. They often assume that the provided persona is sufficient for producing such responses, wit…

cs.LG2026★ 1 cited

GLM-5: from Vibe Coding to Agentic Engineering

GLM-5-Team, :, Aohan Zeng +184

We present GLM-5, a next-generation foundation model designed to transition the paradigm of vibe coding to agentic engineering. Building upon the agentic, reasoning, and coding (AR…

cs.CL2026

ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders

Ofer Meshi, Krisztian Balog, Sally Goldman +5

The promise of LLM-based user simulators to improve conversational AI is hindered by a critical "realism gap," leading to systems that are optimized for simulated interactions, but…

cs.CL2026

MemoryArena: Benchmarking Agent Memory in Interdependent Multi-Session Agentic Tasks

Zexue He, Yu Wang, Churan Zhi +11

Existing evaluations of agents with memory typically assess memorization and action in isolation. One class of benchmarks evaluates memorization by testing recall of past conversat…

cs.CL2026

Mitigating Gradient Inversion Risks in Language Models via Token Obfuscation

Xinguo Feng, Zhongkui Ma, Zihan Wang +2

Training and fine-tuning large-scale language models largely benefit from collaborative learning, but the approach has been proven vulnerable to gradient inversion attacks (GIAs),…

cs.CV2026

Towards Sparse Video Understanding and Reasoning

Chenwei Xu, Zhen Ye, Shang Wu +8

We present \revise (\underline{Re}asoning with \underline{Vi}deo \underline{S}parsity), a multi-round agent for video question answering (VQA). Instead of uniformly sampling frames…