Pedro Rodriguez
16 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Cross-Pollinator (9) π Conference Polyglot (6) π Academic Marathon (7) π Renaissance Researcher (7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(37)
π
Conference Polyglot
(6)
π§¬
Topic Evolution
π
Century Club
(16)
β
The Questioner
(2)
ποΈ
Keyword Collector
(83)
π₯
Unstoppable
(8)
Conferences
ACL (7)
EMNLP (4)
EACL (2)
ICLR (1)
IJCNLP (1)
INTERSPEECH (1)
Top co-authors
Research topics
Keywords
question answering
(4)
model evaluation
(3)
large language model
(2)
bayesian inference
(2)
neural network
(2)
item response theory
(2)
benchmark evaluation
(2)
video captioning
(1)
information retrieval
(1)
model calibration
(1)
conversational ai
(1)
clustering analysis
(1)
multimodal learning
(1)
information extraction
(1)
egocentric vision
(1)
confidence calibration
(1)
visual grounding
(1)
automatic speech recognition
(1)
neural network interpretability
(1)
knowledge editing
(1)
Papers
Byte Latent Transformer: Patches Scale Better Than Tokens
ACL 2025
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
ICLR 2024
Instruction-tuned Language Models are Better Knowledge Learners
ACL 2024
Item Response Theory for Natural Language Processing
EACL 2024
MultiContrievers: Analysis of Dense Retrieval Representations
EMNLP 2024
Fighting FIRe with FIRE: Assessing the Validity of Text-to-Video Retrieval Benchmarks
EACL 2023
SIMMC-VR: A Task-oriented Multimodal Dialog Dataset with Situated and Immersive VR Streams
ACL 2023
Reimagining Retrieval Augmented Language Models for Answering Queries
ACL 2023
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks
ACL 2022
Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory
ACL 2022
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
ACL 2021
Evaluation Paradigms in Question Answering
EMNLP 2021
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
IJCNLP 2021
Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity
EMNLP 2020
Mitigating Noisy Inputs for Question Answering
INTERSPEECH 2019
Pathologies of Neural Models Make Interpretations Difficult
EMNLP 2018