Mirac Suzgun
14 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (8)
πΊοΈ
Taxonomy Completionist
(40)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π₯
Mega-Team
(35)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(62)
π
Century Club
(13)
β
The Questioner
(2)
Conferences
ACL (5)
EACL (3)
ICLR (3)
EMNLP (1)
JMLR (1)
NIPS (1)
Top co-authors
Keywords
language model
(3)
hallucination detection
(2)
text generation
(2)
few-shot learning
(2)
semantic search
(1)
prompt engineering
(1)
factual accuracy
(1)
language modeling
(1)
text classification
(1)
text summarization
(1)
monte carlo tree search
(1)
mental health analysis
(1)
hierarchical representation
(1)
multi-class classification
(1)
sequence alignment
(1)
language recognition
(1)
chain-of-thought reasoning
(1)
long short-term memory
(1)
recurrent neural network
(1)
natural language processing
(1)
Papers
Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory
EACL 2026
Do Language Models Know When Theyβre Hallucinating References?
EACL 2024
string2string: A Modern Python Library for String-to-String Algorithms
ACL 2024
A Benchmark for Learning to Translate a New Language from One Grammar Book
ICLR 2024
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
ICLR 2024
Scaling Instruction-Finetuned Language Models
JMLR 2024
Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding
ACL 2023
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
ACL 2023
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
NIPS 2023
Language models are multilingual chain-of-thought reasoners
ICLR 2023
When Do Pre-Training Biases Propagate to Downstream Tasks? A Case Study in Text Summarization
EACL 2023
Monte Carlo Tree Search for Interpreting Stress in Natural Language
ACL 2022
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models
EMNLP 2022
LSTM Networks Can Perform Dynamic Counting
ACL 2019