activity
20232026
most citedRepetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective

3 citations · 4 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

When Does Embedding Magnitude Matter? A Cross-Task Functional-Symmetry Framework

Xincan Feng, Taro Watanabe

Cosine similarity normalizes both sides; dot product normalizes neither. We propose a 2x2 framework that independently controls query-side and document-side normalization, exposing…

cs.LG2025

SeqPE: Transformer with Sequential Position Encoding

Huayang Li, Yahui Liu, Hongyu Sun +5

Since self-attention layers in Transformers are permutation invariant by design, positional encodings must be explicitly incorporated to enable spatial understanding. However, fixe…

cs.CL2024★ 1 cited

ALR: A Retrieve-then-Reason Framework for Long-context Question Answering

Huayang Li, Pat Verga, Priyanka Sen +5

The context window of large language models (LLMs) has been extended significantly in recent years. However, while the context length that the LLM can process has grown, the capabi…

cs.CL2024

Change My Frame: Reframing in the Wild in r/ChangeMyView

Arturo Martínez Peguero, Taro Watanabe

Recent work in reframing, within the scope of text style transfer, has so far made use of out-of-context, task-prompted utterances in order to produce neutralizing or optimistic re…

cs.CL2024

On the Transformations across Reward Model, Parameter Update, and In-Context Prompt

Deng Cai, Huayang Li, Tingchen Fu +11

Despite the general capabilities of pre-trained large language models (LLMs), they still need further adaptation to better serve practical applications. In this paper, we demonstra…

cs.CL2024

JDocQA: Japanese Document Question Answering Dataset for Generative Language Models

Eri Onami, Shuhei Kurita, Taiki Miyanishi +1

Document question answering is a task of question answering on given documents such as reports, slides, pamphlets, and websites, and it is a truly demanding task as paper and elect…

cs.CL2023★ 3 cited

Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective

Huayang Li, Tian Lan, Zihao Fu +5

There are a number of diverging hypotheses about the neural text degeneration problem, i.e., generating repetitive and dull loops, which makes this problem both interesting and con…