activity
20172026
most citedThe Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling

42 citations · 111 across the 23 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.LG2026

Benchmarking_Fast_Domain_Adaptation_for_Unsupervised_Speech_Units

Robin San Roman, Manel Khentout, Tu Anh Nguyen +3

Representation learning has attracted great atten- tion and managed to reach good performances as a pretraining method for downstream tasks or as a first step towards unsu- pervise…

cs.AI2026

The Model Knows, the Decoder Finds: Future Value Guided Particle Power Sampling

Tu Nguyen, Matthieu Zimmer, Rasul Tutunov +2

A recurring pattern in "reasoning without training" is that base LLMs already assign non-trivial probability mass to correct multi-step solutions; the bottleneck is locating these…

cs.CL2026

SRA: Span Representation Alignment for Large Language Model Distillation

Quoc Phong Dao, Hoang Son Nguyen, Pham Khanh Chi +4

Cross-Tokenizer Knowledge Distillation (CTKD) enables knowledge transfer between a large language model and a smaller student, even when they employ different tokenizers. While exi…

cs.LG2026

Minimizing Collateral Damage in Activation Steering

Tam Nguyen, Tu Anh Nguyen, Sina Alemohammad +1

Activation steering is a method for controlling Large Language Model (LLM) behavior by intervening in its internal representations to increase the alignment with a specific target…

cs.CL2026

Linguistically Informed Evaluation of Multilingual ASR for African Languages

Fei-Yueh Chen, Lateef Adeleke, C. M. Downey

Word Error Rate (WER) mischaracterizes ASR models' performance for African languages by combining phonological, tone, and other linguistic errors into a single lexical error. By co…