Valentina Pyatkin
28 papers · 2017–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (54) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Deep Specialist
(10)
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Mega-Team · Squad
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Keyword Champion
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Grand Slam
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Topic Evolution
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Dynamic Duo
(12)
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Prolific Year · Productive
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Unstoppable · Bronze
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The Questioner
(5)
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Century Club · Bronze
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Keyword Collector
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Research topics
Natural Language Processing
(21)
Artificial Intelligence
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Core AI
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Machine Learning
(13)
Understanding
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Applications
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Deep Learning
(8)
Generation
(8)
Learning Types · Deep Learning
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Resources & Methods
(7)
Learning Types · Machine Learning
(6)
Core Methods
(4)
Interdisciplinary
(3)
Reinforcement Learning
(2)
Application Areas
(2)
Keywords
large language model
(7)
natural language understanding
(4)
reward model
(4)
semantic analysis
(4)
language model
(3)
commonsense reasoning
(3)
benchmark evaluation
(2)
reinforcement learning from human feedback
(2)
value alignment
(2)
semantic role labeling
(2)
few-shot learning
(2)
reinforcement learning
(2)
text representation
(2)
language model alignment
(2)
question answering
(2)
semantic parsing
(2)
zero-shot learning
(2)
multi-task learning
(2)
reward modeling
(2)
natural language processing
(2)
Papers
Which course? Discourse! Teaching Discourse and Generation in the Era of LLMs
EACL 2026
Diverging Preferences: When do Annotators Disagree and do Models Know?
ICML 2025
Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
ACL 2025
Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs
ACL 2025
RewardBench: Evaluating Reward Models for Language Modeling
NAACL 2025
SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
ICML 2025
Superlatives in Context: Modeling the Implicit Semantics of Superlatives
NAACL 2025
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
ICLR 2025
Explicating the Implicit: Argument Detection Beyond Sentence Boundaries
ACL 2024
OLMo: Accelerating the Science of Language Models
ACL 2024
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
ICLR 2024
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning
ICLR 2024
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models
ACL 2024
Promptly Predicting Structures: The Return of Inference
NAACL 2024
The Art of Saying No: Contextual Noncompliance in Language Models
NeurIPS 2024
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback
NeurIPS 2024
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
AAAI 2024
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations
ACL 2023
Revisiting Sentence Union Generation as a Testbed for Text Consolidation
ACL 2023
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations
EMNLP 2023
“You Are An Expert Linguistic Annotator”: Limits of LLMs as Analyzers of Abstract Meaning Representation
EMNLP 2023
Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE
EMNLP 2022
QASem Parsing: Text-to-text Modeling of QA-based Semantics
EMNLP 2022
Asking It All: Generating Contextualized Questions for any Semantic Role
EMNLP 2021
The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing
ACL 2021
QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines
EMNLP 2020
QANom: Question-Answer driven SRL for Nominalizations
COLING 2020
Discourse Relations and Conjoined VPs: Automated Sense Recognition
EACL 2017