Nicola Cancedda
27 papers · 2000–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (25) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (11) π Cross-Pollinator (12)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(30)
π
Conference Polyglot
(11)
π
Century Club
(26)
ποΈ
Keyword Collector
(60)
π
Trend Setter
π
Conference Pioneer
Conferences
ACL (8)
EMNLP (5)
CONLL (4)
IJCNLP (2)
NAACL (2)
COLING (1)
EACL (1)
ICLR (1)
IJCAI (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
large language model
(3)
entity linking
(2)
game theory
(1)
text classification
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
factual accuracy
(1)
ai safety
(1)
singular value decomposition
(1)
information extraction
(1)
factuality evaluation
(1)
text generation
(1)
language modeling
(1)
code generation
(1)
confidence calibration
(1)
attention mechanism
(1)
knowledge base
(1)
dense retrieval
(1)
embedding space
(1)
zero-shot learning
(1)
Papers
Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation
ACL 2026
Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games
IJCAI 2025
Robust LLM safeguarding via refusal feature adversarial training
ICLR 2025
Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations
EMNLP 2025
HalluLens: LLM Hallucination Benchmark
ACL 2025
Know When To Stop: A Study of Semantic Drift in Text Generation
NAACL 2024
Spectral Filters, Dark Signals, and Attention Sinks
ACL 2024
ERATE: Efficient Retrieval Augmented Text Embeddings
EACL 2023
Toolformer: Language Models Can Teach Themselves to Use Tools
NIPS 2023
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings
EMNLP 2023
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing
EMNLP 2022
Fast Domain Adaptation of SMT models without in-Domain Parallel Data
COLING 2014
Private Access to Phrase Tables for Statistical Machine Translation
ACL 2012
Prediction of Learning Curves in Machine Translation
ACL 2012
Confidence-Weighted Learning of Factored Discriminative Language Models
ACL 2011
Minimum Error Rate Training by Sampling the Translation Lattice
EMNLP 2010
Source-Language Entailment Modeling for Translating Unknown Terms
IJCNLP 2009
Source-Language Entailment Modeling for Translating Unknown Terms
ACL 2009
Phrase-Based Statistical Machine Translation as a Traveling Salesman Problem
ACL 2009
Phrase-Based Statistical Machine Translation as a Traveling Salesman Problem
IJCNLP 2009
Translating with Non-contiguous Phrases
EMNLP 2005
Word-Sequence Kernels
JMLR 2003
Combining Labelled and Unlabelled Data: A Case Study on Fisher Kernels and Transductive Inference for Biological Entity Recognition
CONLL 2002
Probabilistic models for PP-attachment resolution and NP analysis
CONLL 2001
Learning Computational Grammars
CONLL 2001
Experiments with Corpus-based LFG Specialization
NAACL 2000
Corpus-Based Grammar Specialization
CONLL 2000