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ORCIDJustin Chih-Yao Chen
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2020 – today
- 2026
[c10]Tianyi Niu, Justin Chih-Yao Chen, Genta Indra Winata, Shi-Xiong Zhang, Supriyo Chakraborty, Sambit Sahu, Yue Zhang, Elias Stengel-Eskin, Mohit Bansal:
Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection. ACL (1) 2026: 32441-32466- [c9]Jaewoo Lee, Archiki Prasad, Justin Chih-Yao Chen, Zaid Khan, Elias Stengel-Eskin, Mohit Bansal:
PRInTS: Reward Modeling for Long-Horizon Information Seeking. ACL (1) 2026: 34120-34138 - [c8]Nithin Sivakumaran, Justin Chih-Yao Chen, David Wan, Yue Zhang, Jaehong Yoon, Elias Stengel-Eskin, Mohit Bansal:
DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning. EACL (Volume 1: Long Papers) 2026: 5445-5464 - [i19]Tianyi Niu, Justin Chih-Yao Chen, Genta Indra Winata, Shi-Xiong Zhang, Supriyo Chakraborty, Sambit Sahu, Yue Zhang, Elias Stengel-Eskin, Mohit Bansal:
Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection. CoRR abs/2601.09692 (2026) - [i18]Justin Chih-Yao Chen, Archiki Prasad, Zaid Khan, Joykirat Singh, Runchu Tian, Elias Stengel-Eskin, Mohit Bansal:
Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems. CoRR abs/2604.04767 (2026) - [i17]Joykirat Singh, Zaid Khan, Archiki Prasad, Justin Chih-Yao Chen, Akshay Nambi, Hyunji Lee, Elias Stengel-Eskin, Mohit Bansal:
Agent-BRACE: Decoupling Beliefs from Actions in Long-Horizon Tasks via Verbalized State Uncertainty. CoRR abs/2605.11436 (2026) - [i16]Hyunji Lee, Justin Chih-Yao Chen, Joykirat Singh, Zaid Khan, Elias Stengel-Eskin, Mohit Bansal:
MINTEval: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems. CoRR abs/2605.18565 (2026) - [i15]Zaid Khan, Justin Chih-Yao Chen, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal:
GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization. CoRR abs/2605.31464 (2026) - [i14]Jaewoo Lee, Zaid Khan, Archiki Prasad, Justin Chih-Yao Chen, Supriyo Chakraborty, Kartik Balasubramaniam, Sambit Sahu, Elias Stengel-Eskin, Hyunji Lee, Mohit Bansal:
A History-Aware Visually Grounded Critic for Computer Use Agents. CoRR abs/2606.11078 (2026) - 2025
- [c7]Justin Chih-Yao Chen, Archiki Prasad, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal:
MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning. EMNLP 2025: 32663-32686 - [c6]Swarnadeep Saha, Archiki Prasad, Justin Chih-Yao Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal:
System 1.x: Learning to Balance Fast and Slow Planning with Language Models. ICLR 2025 - [c5]Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi, Rujun Han, Sayna Ebrahimi, Long T. Le, Vincent Perot, Swaroop Mishra, Mohit Bansal, Chen-Yu Lee, Tomas Pfister:
Reverse Thinking Makes LLMs Stronger Reasoners. NAACL (Long Papers) 2025: 8611-8630 - [c4]David Wan, Justin Chih-Yao Chen, Elias Stengel-Eskin, Mohit Bansal:
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration. NAACL (Long Papers) 2025: 9882-9901 - [i13]Archiki Prasad, Elias Stengel-Eskin, Justin Chih-Yao Chen, Zaid Khan, Mohit Bansal:
Learning to Generate Unit Tests for Automated Debugging. CoRR abs/2502.01619 (2025) - [i12]Justin Chih-Yao Chen, Sukwon Yun, Elias Stengel-Eskin, Tianlong Chen, Mohit Bansal:
Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning. CoRR abs/2503.05641 (2025) - [i11]David Wan, Justin Chih-Yao Chen, Elias Stengel-Eskin, Mohit Bansal:
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration. CoRR abs/2503.15272 (2025) - [i10]Justin Chih-Yao Chen, Becky Xiangyu Peng, Prafulla Kumar Choubey, Kung-Hsiang Huang, Jiaxin Zhang, Mohit Bansal, Chien-Sheng Wu:
Nudging the Boundaries of LLM Reasoning. CoRR abs/2509.25666 (2025) - [i9]Joykirat Singh, Justin Chih-Yao Chen, Archiki Prasad, Elias Stengel-Eskin, Akshay Nambi, Mohit Bansal:
Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression. CoRR abs/2510.01581 (2025) - [i8]Jaewoo Lee, Archiki Prasad, Justin Chih-Yao Chen, Zaid Khan, Elias Stengel-Eskin, Mohit Bansal:
PRInTS: Reward Modeling for Long-Horizon Information Seeking. CoRR abs/2511.19314 (2025) - [i7]Nithin Sivakumaran, Justin Chih-Yao Chen, David Wan, Yue Zhang, Jaehong Yoon
, Elias Stengel-Eskin, Mohit Bansal:
DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning. CoRR abs/2512.07132 (2025) - 2024
- [c3]Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal:
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs. ACL (1) 2024: 7066-7085 - [c2]Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal:
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models. ICML 2024: 7220-7235 - [i6]Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal:
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models. CoRR abs/2402.01620 (2024) - [i5]Swarnadeep Saha, Archiki Prasad, Justin Chih-Yao Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal:
System-1.x: Learning to Balance Fast and Slow Planning with Language Models. CoRR abs/2407.14414 (2024) - [i4]Justin Chih-Yao Chen, Archiki Prasad, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal:
MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning. CoRR abs/2409.12147 (2024) - [i3]Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi, Rujun Han, Sayna Ebrahimi, Long T. Le, Vincent Perot, Swaroop Mishra, Mohit Bansal, Chen-Yu Lee, Tomas Pfister:
Reverse Thinking Makes LLMs Stronger Reasoners. CoRR abs/2411.19865 (2024) - 2023
- [c1]Nicholas Collin Suwono, Justin Chih-Yao Chen, Tun-Min Hung, Ting-Hao 'Kenneth' Huang, I-Bin Liao, Yung-Hui Li, Lun-Wei Ku, Shao-Hua Sun:
Location-Aware Visual Question Generation with Lightweight Models. EMNLP 2023: 1415-1432 - [i2]Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal:
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs. CoRR abs/2309.13007 (2023) - [i1]Nicholas Collin Suwono, Justin Chih-Yao Chen, Tun-Min Hung, Ting-Hao 'Kenneth' Huang, I-Bin Liao, Yung-Hui Li, Lun-Wei Ku, Shao-Hua Sun:
Location-Aware Visual Question Generation with Lightweight Models. CoRR abs/2310.15129 (2023)
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