Intercarrier-Interference-Aware Energy Saving for High-Mobility Cognitive OFDM Systems. - Wenjun Xu 001; Xuemei Zhou; Yanda Chen; Zhihui Liu; Zhiyong Feng 001 (IEICE Trans. Commun., 2018)

Queuing Strategy Optimization with Restricted Service Resources. - Jiaming Liu 003; Xingqun Qi; Yimeng Xu; Yanda Chen; Chuang Zhang (Wirel. Pers. Commun., 2018)

Detecting and Reducing Bias in a High Stakes Domain. - Ruiqi Zhong; Yanda Chen; Desmond Patton; Charlotte Selous; Kathy McKeown (EMNLP/IJCNLP (1), 2019)

Improved Synthetic Training for Reading Comprehension. - Yanda Chen; Md. Arafat Sultan; Vittorio Castelli (CoRR, 2020)

Cross-language Sentence Selection via Data Augmentation and Rationale Training. - Yanda Chen; Chris Kedzie; Suraj Nair 001; Petra Galuscáková; Rui Zhang 037; Douglas W. Oard; Kathleen R. McKeown (ACL/IJCNLP (1), 2021)

Meta-learning via Language Model In-context Tuning. - Yanda Chen; Ruiqi Zhong; Sheng Zha; George Karypis; He He 001 (ACL (1), 2022)

In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models. - Yukun Huang; Yanda Chen; Zhou Yu; Kathleen R. McKeown (CoRR, 2022)

On the Relation between Sensitivity and Accuracy in In-Context Learning. - Yanda Chen; Chen Zhao; Zhou Yu; Kathleen R. McKeown; He He 001 (EMNLP (Findings), 2023)

Parallel Structures in Pre-training Data Yield In-Context Learning. - Yanda Chen; Chen Zhao; Zhou Yu; Kathleen R. McKeown; He He 001 (ACL (1), 2024)

Social Orientation: A New Feature for Dialogue Analysis. - Todd Morrill; Zhaoyuan Deng; Yanda Chen; Amith Ananthram; Colin Wayne Leach; Kathleen R. McKeown (LREC/COLING, 2024)

Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations. - Yanda Chen; Ruiqi Zhong; Narutatsu Ri; Chen Zhao; He He 001; Jacob Steinhardt; Zhou Yu; Kathleen R. McKeown (ICML, 2024)

Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning. - Yanda Chen; Chandan Singh; Xiaodong Liu 003; Simiao Zuo; Bin Yu 001; He He 001; Jianfeng Gao 001 (COLING, 2025)

Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation. - Yanda Chen; Gongwei Chen; Miao Zhang; Weili Guan; Liqiang Nie (CVPR, 2025)

Towards Data-Efficient and Explainable Large Language Models - Yanda Chen (2025)

Reasoning Models Don't Always Say What They Think. - Yanda Chen; Joe Benton; Ansh Radhakrishnan; Jonathan Uesato; Carson Denison; John Schulman; Arushi Somani; Peter Hase; Misha Wagner; Fabien Roger; Vladimir Mikulik; Samuel R. Bowman; et al. (CoRR, 2025)

Counterfactual Simulatability of LLM Explanations for Generation Tasks. - Marvin Limpijankit; Yanda Chen; Melanie Subbiah; Nicholas Deas; Kathleen McKeown (CoRR, 2025)

Inverse Scaling in Test-Time Compute. - Aryo Pradipta Gema; Alexander Hägele; Runjin Chen; Andy Arditi; Jacob Goldman-Wetzler; Kit Fraser-Taliente; Henry Sleight; Linda Petrini; Julian Michael; Beatrice Alex; Pasquale Minervini; Yanda Chen; et al. (CoRR, 2025)

CTR-Driven Ad Text Generation via Online Feedback Preference Optimization. - Yanda Chen; Zihui Ren; Qixiang Gao; Jiale Chen; Si Chen 010; Xubin Li; Tiezheng Ge; Bo Zheng 007 (CoRR, 2025)