◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

M. Milling

24 papers hereh-index 11358 citations47 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author20

Across the 23 of 24 papers where every author was matched, so the position is known.

fields
  • cs.SD11
  • cs.LG7
  • cs.CL4
  • cs.AI1
  • cs.HC1

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedLarge Language Models for Depression Recognition in Spoken Language Integrating Psychological Knowledge

13 citations · 33 across the 21 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

3 papers · 2 filters

cs.CL2024

Discourse Features Enhance Detection of Document-Level Machine-Generated Content

Yupei Li, Manuel Milling, Lucia Specia +1

The availability of high-quality APIs for Large Language Models (LLMs) has facilitated the widespread creation of Machine-Generated Content (MGC), posing challenges such as academi…

cs.CL2024★ 5 cited

INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition

Andreas Triantafyllopoulos, Anton Batliner, Simon Rampp +2

We revisit the INTERSPEECH 2009 Emotion Challenge -- the first ever speech emotion recognition (SER) challenge -- and evaluate a series of deep learning models that are representat…

cs.CL2024

Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning

Lukas Christ, Shahin Amiriparian, Manuel Milling +2

Telling stories is an integral part of human communication which can evoke emotions and influence the affective states of the audience. Automatically modeling emotional trajectorie…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.