Perception of Tone in Whispered Mandarin Sentences: The Case for Singapore Mandarin. - Yuling Gu; Boon Pang Lim; Nancy F. Chen (INTERSPEECH, 2016)

Acoustic Characterization of Singaporean Children's English: Comparisons to American and British Counterparts. - Yuling Gu; Nancy F. Chen (WNLP@ACL, 2019)

Characterization of Singaporean Children's English: Comparisons to American and British Counterparts Using Archetypal Analysis. - Yuling Gu; Nancy F. Chen (INTERSPEECH, 2020)

DREAM: Uncovering Mental Models behind Language Models. - Yuling Gu; Bhavana Dalvi Mishra; Peter Clark (CoRR, 2021)

DREAM: Improving Situational QA by First Elaborating the Situation. - Yuling Gu; Bhavana Dalvi; Peter Clark (NAACL-HLT, 2022)

Large-Scale Acoustic Characterization of Singaporean Children's English Pronunciation. - Yuling Gu; Nancy F. Chen (CoRR, 2022)

Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE. - Yuling Gu; Yao Fu; Valentina Pyatkin; Ian Magnusson; Bhavana Dalvi Mishra; Peter Clark (CoRR, 2022)

One Venue, Two Conferences: The Separation of Chinese and American Citation Networks. - Bingchen Zhao; Yuling Gu; Jessica Zosa Forde; Naomi Saphra (CoRR, 2022)

Measure More, Question More: Experimental Studies on Transformer-based Language Models and Complement Coercion. - Yuling Gu (CoRR, 2022)

Do language models have coherent mental models of everyday things? - Yuling Gu; Bhavana Dalvi Mishra; Peter Clark (ACL (1), 2023)

What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations. - Kavel Rao; Liwei Jiang; Valentina Pyatkin; Yuling Gu; Niket Tandon; Nouha Dziri; Faeze Brahman; Yejin Choi 001 (EMNLP (Findings), 2023)

OLMo: Accelerating the Science of Language Models. - Dirk Groeneveld; Iz Beltagy; Evan Pete Walsh; Akshita Bhagia; Rodney Kinney; Oyvind Tafjord; Ananya Harsh Jha; Hamish Ivison; Ian Magnusson; Yizhong Wang; Shane Arora; David Atkinson; et al. (ACL (1), 2024)

Digital Socrates: Evaluating LLMs through Explanation Critiques. - Yuling Gu; Oyvind Tafjord; Peter Clark (ACL (1), 2024)

WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models. - Wenlong Zhao 001; Debanjan Mondal; Niket Tandon; Danica Dillion; Kurt Gray; Yuling Gu (LREC/COLING, 2024)

OLMo: Accelerating the Science of Language Models. - Dirk Groeneveld; Iz Beltagy; Pete Walsh; Akshita Bhagia; Rodney Kinney; Oyvind Tafjord; Ananya Harsh Jha; Hamish Ivison; Ian Magnusson; Yizhong Wang; Shane Arora; David Atkinson; et al. (CoRR, 2024)

PROC2PDDL: Open-Domain Planning Representations from Texts. - Tianyi Zhang; Li Zhang 039; Zhaoyi Hou; Ziyu Wang; Yuling Gu; Peter Clark; Chris Callison-Burch; Niket Tandon (CoRR, 2024)

OLMoE: Open Mixture-of-Experts Language Models. - Niklas Muennighoff; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Jacob Morrison; Sewon Min; Weijia Shi; Pete Walsh; Oyvind Tafjord; Nathan Lambert 001; Yuling Gu; Shane Arora; et al. (CoRR, 2024)

SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs. - Yuling Gu; Oyvind Tafjord; Hyunwoo Kim 002; Jared Moore; Ronan Le Bras 001; Peter Clark; Yejin Choi 001 (CoRR, 2024)

TÜLU 3: Pushing Frontiers in Open Language Model Post-Training. - Nathan Lambert 001; Jacob Morrison; Valentina Pyatkin; Shengyi Huang; Hamish Ivison; Faeze Brahman; Lester James V. Miranda; Alisa Liu; Nouha Dziri; Shane Lyu; Yuling Gu; Saumya Malik; et al. (CoRR, 2024)

OLMoE: Open Mixture-of-Experts Language Models. - Niklas Muennighoff; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Jacob Morrison; Sewon Min; Weijia Shi; Evan Pete Walsh; Oyvind Tafjord; Nathan Lambert 001; Yuling Gu; Shane Arora; et al. (ICLR, 2025)

OLMES: A Standard for Language Model Evaluations. - Yuling Gu; Oyvind Tafjord; Bailey Kuehl; Dany Haddad; Jesse Dodge; Hannaneh Hajishirzi (NAACL (Findings), 2025)

2 OLMo 2 Furious. - Team OLMo; Pete Walsh; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Shane Arora; Akshita Bhagia; Yuling Gu; Shengyi Huang; Matt Jordan; Nathan Lambert 001; Dustin Schwenk; et al. (CoRR, 2025)