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← Authors

Chenglei Si

21 papers · 2019–2025 · 6 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (37) 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🧬 Topic Evolution ⚑ Prolific Year (5) πŸ’Ž Century Club (21) πŸ—ƒοΈ Keyword Collector (68) πŸ”₯ Unstoppable (7) ❓ The Questioner (2)

Conferences

ACL (7) EMNLP (5) IJCNLP (3) NAACL (3) ICLR (2) COLING (1)

Top co-authors

Shijin Wang (5) Ting Liu (5) Yiming Cui (5) Jordan Boyd-Graber (5) Ziqing Yang (4) Chen Zhao (4) Zhiyuan Liu (3) Zhengyan Zhang (3) Diyi Yang (3) Guoping Hu (3)

Keywords

large language model (4) question answering (3) machine reading comprehension (3) named entity recognition (2) text classification (2) text embedding (2) virtual embedding (2) adversarial training (2) model robustness (1) neural machine translation (1) model calibration (1) sequential decision-making (1) information retrieval (1) multimodal learning (1) entity linking (1) evaluation methodology (1) in-context learning (1) confidence calibration (1) code generation (1) data augmentation (1)

Papers

Contextual Experience Replay for Self-Improvement of Language Agents ACL 2025 SPHERE: An Evaluation Card for Human-AI Systems ACL 2025 Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers ICLR 2025 Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering NAACL 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 READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises ACL 2023 Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations ACL 2023 Prompting GPT-3 To Be Reliable ICLR 2023 Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition EMNLP 2023 Re-Examining Calibration: The Case of Question Answering EMNLP 2022 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 Adversarial Training for Machine Reading Comprehension with Virtual Embeddings IJCNLP 2021 Adversarial Training for Machine Reading Comprehension with Virtual Embeddings ACL 2021 Benchmarking Robustness of Machine Reading Comprehension Models ACL 2021 Benchmarking Robustness of Machine Reading Comprehension Models IJCNLP 2021 Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning IJCNLP 2021 CharBERT: Character-aware Pre-trained Language Model COLING 2020 Sentiment Aware Neural Machine Translation EMNLP 2019 Dataset Mention Extraction and Classification NAACL 2019