Leonard Adolphs
7 papers · 2019–2023 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(24)
🐣
Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Natural Language Processing
(5)
Deep Learning
(4)
Generation
(4)
Learning Types
(3)
Artificial Intelligence
(2)
Core AI
(2)
Core Methods
(2)
Models
(2)
Optimization & Theory
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Applications · Reinforcement Learning
(1)
Applications · Natural Language Processing
(1)
Keywords
dialogue system
(2)
language model
(2)
text generation
(2)
uncertainty quantification
(1)
probability estimation
(1)
information retrieval
(1)
question answering
(1)
confidence calibration
(1)
query reformulation
(1)
machine reading comprehension
(1)
latent space
(1)
hierarchical reinforcement learning
(1)
gradient descent
(1)
adaptive optimization
(1)
language modeling
(1)
claim verification
(1)
retrieval-augmented generation
(1)
hallucination reduction
(1)
confidence estimation
(1)
contrastive learning
(1)
Papers
The CRINGE Loss: Learning what language not to model
ACL 2023
Calibration of Machine Reading Systems at Scale
ACL 2022
Decoding a Neural Retriever’s Latent Space for Query Suggestion
EMNLP 2022
Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion
EMNLP 2022
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue
EMNLP 2022
LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games
AAAI 2020
Local Saddle Point Optimization: A Curvature Exploitation Approach
AISTATS 2019