Pinelopi Papalampidi
12 papers · 2017–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (8) π Conference Polyglot (9) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (31)
π
Interdisciplinary Bridge
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(31)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(61)
π
Century Club
(11)
π₯
Unstoppable
(9)
Conferences
ACL (2)
ICML (2)
SEMEVAL (2)
AAAI (1)
CVPR (1)
EACL (1)
EMNLP (1)
ICLR (1)
IJCNLP (1)
Top co-authors
Research topics
Keywords
neural network
(2)
turning point identification
(2)
screenplay analysis
(2)
narrative structure
(2)
plot synopsis
(2)
scene understanding
(1)
text classification
(1)
ensemble learning
(1)
narrative generation
(1)
text generation
(1)
semantic analysis
(1)
masked training
(1)
graph construction
(1)
neural network model
(1)
sentiment analysis
(1)
language model
(1)
recurrent neural network
(1)
chain-of-thought reasoning
(1)
parameter efficient fine-tuning
(1)
video summarization
(1)
Papers
Do LLMs Really Need 10+ Thoughts for βFind the Time 1000 Days Laterβ? Towards Structural Understanding of LLM Overthinking
ACL 2026
Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating
ICLR 2025
A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames
CVPR 2024
Memory Consolidation Enables Long-Context Video Understanding
ICML 2024
Hierarchical3D Adapters for Long Video-to-text Summarization
EACL 2023
Towards Coherent and Consistent Use of Entities in Narrative Generation
ICML 2022
Movie Summarization via Sparse Graph Construction
AAAI 2021
Screenplay Summarization Using Latent Narrative Structure
ACL 2020
Movie Plot Analysis via Turning Point Identification
EMNLP 2019
Movie Plot Analysis via Turning Point Identification
IJCNLP 2019
NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs
SEMEVAL 2018
Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter
SEMEVAL 2017