Boshi Wang
12 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (11)
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Conference Polyglot
(7)
🧭
Keyword Pioneer
👥
Mega-Team
(20)
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Keyword Collector
(56)
💎
Century Club
(12)
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Unstoppable
(5)
📈
Trend Setter
❓
The Questioner
(2)
Conferences
EMNLP (3)
ACL (2)
ICLR (2)
NIPS (2)
ICML (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
large language model
(6)
in-context learning
(2)
sparse recovery
(1)
uncertainty quantification
(1)
natural language inference
(1)
bayesian optimization
(1)
natural language understanding
(1)
adversarial attack
(1)
out-of-distribution generalization
(1)
model alignment
(1)
belief updating
(1)
sparse optimization
(1)
text generation
(1)
trial and error
(1)
compressed sensing
(1)
language model
(1)
safety evaluation
(1)
systematic generalization
(1)
pre-trained language model
(1)
transformer architecture
(1)
Papers
ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
ICLR 2025
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities
NAACL 2024
Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization
NIPS 2024
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
ACL 2024
Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate
EMNLP 2023
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
ACL 2023
Automatic Evaluation of Attribution by Large Language Models
EMNLP 2023
Mind2Web: Towards a Generalist Agent for the Web
NIPS 2023
Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property
ICLR 2022
Iteratively Prompt Pre-trained Language Models for Chain of Thought
EMNLP 2022
Homomorphic Sensing: Sparsity and Noise
ICML 2021
Predictive Job Scheduling under Uncertain Constraints in Cloud Computing
IJCAI 2021