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20232026
most citedDecoding Probing: Revealing Internal Linguistic Structures in Neural Language Models using Minimal Pairs

1 citations · 3 across the 14 of their papers we have counts for

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eess.AS2026

Beyond the Stability--Plasticity Frontier in Streaming Target Speaker Extraction

Yuesheng Ma, Linyang He, Nima Mesgarani

Streaming target speaker extraction must maintain a representation of whom to extract while the target may fall silent, be masked by interference, or drift acoustically away from e…

cs.CL2026

The First ChineseBabyLM Challenge: training data-efficient and cognitively plausible language models for Chinese

Siyuan Song, Zhiheng Qian, Yunhao Zhang +11

This paper presents the first ChineseBabyLM Challenge, organized as part of NLPCC 2026. The challenge asked participants to train language models from scratch using no more than 10…

cs.CL2026

Prune, Interpret, Evaluate: A Cross-Layer Transcoder-Native Framework for Efficient Circuit Discovery via Feature Attribution

Qinhao Chen, Linyang He, Nima Mesgarani

Existing feature-interpretation pipelines typically operate on uniformly sampled units or exhaustive feature sets, incurring massive costs on units irrelevant to target behaviors.…

cs.CL2026

LiveMathematicianBench: A Live Benchmark for Research-Level Mathematical Reasoning with Proof Sketches

Linyang He, Qiyao Yu, Hanze Dong +5

Mathematical reasoning is a hallmark of human intelligence, and whether large language models (LLMs) can meaningfully perform it remains a central question in artificial intelligen…

cs.CV2026

A Very Big Video Reasoning Suite

Maijunxian Wang, Ruisi Wang, Juyi Lin +53

Rapid progress in video models has largely focused on visual quality, leaving their reasoning capabilities underexplored. Video reasoning grounds intelligence in spatiotemporally c…

cs.SD2026

AVMeme Exam: A Multimodal Multilingual Multicultural Benchmark for LLMs' Contextual and Cultural Knowledge and Thinking

Xilin Jiang, Qiaolin Wang, Junkai Wu +30

Internet audio-visual clips convey meaning through time-varying sound and motion, which extend beyond what text alone can represent. To examine whether AI models can understand suc…