activity
20172026
most citedNL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

25 citations · 67 across the 43 of their papers we have counts for

collaborators

49 papers

cs.CL2026

Rate-Resolved Text Evaluation with Masked Diffusion Language Models

Yiqi Liu, Kun Zhao, Chenghua Lin +1

A single evaluation score can rank generation systems but rarely reveals what failed. We propose rate-resolved text evaluation, which turns the masking rate of masked diffusion lan…

cs.CL2026

Feedback as an Interface: Controlling Form and Detail in LLM Translation Refinement

Yiqi Liu, Flavjo Tomori, Nafise Sadat Moosavi +2

Feedback presentation shapes how LLMs use evaluator judgments during translation refinement. We introduce a machine translation protocol that keeps the evaluator score, main issue,…

cs.CL2026

Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional Learning

Maggie Mi, Golzar Atefi, Atsuki Yamaguchi +3

Idioms can be analysed in terms of their decomposability, the extent to which constituent meanings contribute to the figurative whole. Decomposability is thought to predict syntact…

cs.CL2026

Initialisation Determines the Basin: Efficient Codebook Optimisation for Extreme LLM Quantization

Ian W. Kennedy, Nafise Sadat Moosavi

Additive quantization enables extreme LLM compression with O(1) lookup-table dequantization, making it attractive for edge deployment. Yet at 2-bit precision, it often fails catast…

cs.CL2026

A Robust Evaluation of Probe Robustness: Lessons for Reliable OOD Uncertainty Quantification

Joe Stacey, Hadas Orgad, Kentaro Inui +2

Recent work has shown that the hidden states of large language models contain signals useful for uncertainty estimation, motivating a growing interest in efficient probe-based appr…

cs.CL2026

No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural Understanding

Vynska Amalia Permadi, Xingwei Tan, Nafise Sadat Moosavi +1

Understanding culture requires reasoning across context, tradition, and implicit social knowledge, far beyond recalling isolated facts. Yet most culturally focused question answeri…