Sainbayar Sukhbaatar
25 papers · 2015–2025 · 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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πΊοΈ Taxonomy Completionist (48) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(5)
π
Grand Slam
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(123)
π
Trend Setter
π
Century Club Β· Bronze
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Artificial Intelligence
(17)
Machine Learning
(16)
Core AI
(16)
Deep Learning
(13)
Natural Language Processing
(9)
Architectures
(7)
Generation
(7)
Learning Types Β· Deep Learning
(7)
Core Methods
(6)
Optimization & Theory
(6)
Reinforcement Learning
(5)
Learning Types Β· Machine Learning
(5)
Methods
(4)
Models
(3)
Application Areas
(2)
Keywords
language model
(6)
reinforcement learning
(5)
language modeling
(4)
instruction following
(4)
text generation
(3)
preference optimization
(3)
large language model
(3)
sequence modeling
(2)
continuous communication
(2)
question answering
(2)
policy learning
(2)
multi-agent system
(2)
attention mechanism
(2)
transformer architecture
(2)
mathematical reasoning
(2)
reward shaping
(2)
response generation
(1)
self-attention mechanism
(1)
knowledge representation
(1)
chain-of-thought reasoning
(1)
Papers
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
ICLR 2025
Following Length Constraints in Instructions
EMNLP 2025
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
EMNLP 2025
R.I.P.: Better Models by Survival of the Fittest Prompts
ICML 2025
Self-Consistency Preference Optimization
ICML 2025
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback
EMNLP 2025
Thinking LLMs: General Instruction Following with Thought Generation
ICML 2025
Iterative Reasoning Preference Optimization
NeurIPS 2024
Self-Rewarding Language Models
ICML 2024
A Data Source for Reasoning Embodied Agents
AAAI 2023
Learning to Reason and Memorize with Self-Notes
NeurIPS 2023
The CRINGE Loss: Learning what language not to model
ACL 2023
Director: Generator-Classifiers For Supervised Language Modeling
AACL 2022
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping
CoRL 2022
Staircase Attention for Recurrent Processing of Sequences
NeurIPS 2022
Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL
UAI 2022
Hash Layers For Large Sparse Models
NeurIPS 2021
Not All Memories are Created Equal: Learning to Forget by Expiring
ICML 2021
Adaptive Attention Span in Transformers
ACL 2019
Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
ICLR 2019
Training Hybrid Language Models by Marginalizing over Segmentations
ACL 2019
Composable Planning with Attributes
ICML 2018
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
ICLR 2018
Learning Multiagent Communication with Backpropagation
NeurIPS 2016
End-To-End Memory Networks
NeurIPS 2015