Chenglei Si
18 papers · 2019–2025 · 5 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 (39) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
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Prolific Year · Productive
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Unstoppable · Bronze
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The Questioner
(2)
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Century Club · Bronze
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Keyword Collector
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Venues
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Research topics
Artificial Intelligence
(12)
Natural Language Processing
(12)
Core AI
(11)
Applications
(8)
Machine Learning
(7)
Learning Types · Machine Learning
(5)
Resources & Methods
(5)
Deep Learning
(3)
Core Methods
(3)
Architectures
(2)
Learning Paradigms
(2)
Application Areas
(1)
Generation
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Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Keywords
large language model
(6)
question answering
(3)
machine reading comprehension
(2)
named entity recognition
(2)
text classification
(2)
sequential decision making
(1)
model robustness
(1)
sentiment analysis
(1)
entity linking
(1)
model calibration
(1)
neural machine translation
(1)
in-context learning
(1)
information retrieval
(1)
multimodal learning
(1)
confidence calibration
(1)
code generation
(1)
adversarial training
(1)
evaluation methodology
(1)
data augmentation
(1)
adversarial robustness
(1)
Papers
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
ICLR 2025
Contextual Experience Replay for Self-Improvement of Language Agents
ACL 2025
Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering
NAACL 2025
SPHERE: An Evaluation Card for Human-AI Systems
ACL 2025
Large Language Models Help Humans Verify Truthfulness – Except When They Are Convincingly Wrong
NAACL 2024
Getting MoRE out of Mixture of Language Model Reasoning Experts
EMNLP 2023
Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition
EMNLP 2023
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
ACL 2023
Prompting GPT-3 To Be Reliable
ICLR 2023
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises
ACL 2023
Re-Examining Calibration: The Case of Question Answering
EMNLP 2022
Adversarial Training for Machine Reading Comprehension with Virtual Embeddings
ACL 2021
Benchmarking Robustness of Machine Reading Comprehension Models
ACL 2021
Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning
ACL 2021
What’s in a Name? Answer Equivalence For Open-Domain Question Answering
EMNLP 2021
CharBERT: Character-aware Pre-trained Language Model
COLING 2020
Dataset Mention Extraction and Classification
NAACL 2019
Sentiment Aware Neural Machine Translation
EMNLP 2019