Tenghao Huang

31 papers A* 4Journal 17Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
DiscoSum: Discourse-aware News Summarization.
CoRR
Alexander Spangher, Tenghao Huang, Jialiang Gu, Jiatong Shi, Muhao Chen
2025 — conf
Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation.
EMNLP (Findings)
Dongwon Jung, Qin Liu, Tenghao Huang, Ben Zhou, Muhao Chen
2025 — conf
FoodPuzzle: Toward Developing Large Language Model Agents as Autonomous Flavor Scientists.
KDD (2)
Tenghao Huang, Dong Hee Lee, John Sweeney, Jiatong Shi, Emily Steliotes, Matthew Lange, Jonathan May, Muhao Chen
2025 — conf
NewsInterview: a Dataset and a Playground to Evaluate LLMs' Grounding Gap via Informational Interviews.
ACL (1)
Alexander Spangher, Michael Lu, Sriya Kalyan, Hyundong Justin Cho, Tenghao Huang, Weiyan Shi, Jonathan May
2025 J jnl
Optimizing Diversity and Quality through Base-Aligned Model Collaboration.
CoRR
Yichen Wang, Chenghao Yang, Tenghao Huang, Muhao Chen, Jonathan May, Mina Lee
2025 J jnl
R2D2: Remembering, Reflecting and Dynamic Decision Making for Web Agents.
CoRR
Tenghao Huang, Kinjal Basu, Ibrahim Abdelaziz, Pavan Kapanipathi, Jonathan May, Muhao Chen
2025 — conf
R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory.
ACL (1)
Tenghao Huang, Kinjal Basu, Ibrahim Abdelaziz, Pavan Kapanipathi, Jonathan May, Muhao Chen
2025 — conf
Teaching Language Models To Gather Information Proactively.
EMNLP (Findings)
Tenghao Huang, Sihao Chen, Muhao Chen, Jonathan May, Longqi Yang, Mengting Wan, Pei Zhou
2025 J jnl
Teaching Language Models To Gather Information Proactively.
CoRR
Tenghao Huang, Sihao Chen, Muhao Chen, Jonathan May, Longqi Yang, Mengting Wan, Pei Zhou
2025 J jnl
WebDS: An End-to-End Benchmark for Web-based Data Science.
CoRR
Ethan Hsu, Hong Meng Yam, Ines Bouissou, Aaron Murali John, Raj Thota, Josh Koe, Vivek Sarath Putta, G. K. Dharesan, Alexander Spangher, Shikhar Murty, Tenghao Huang, Christopher D. Manning
2024 A* conf
Are Large Language Models Capable of Generating Human-Level Narratives?
EMNLP
Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, Nanyun Peng
2024 J jnl
Are Large Language Models Capable of Generating Human-Level Narratives?
CoRR
Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, Nanyun Peng
2024 J jnl
Familiarity-aware Evidence Compression for Retrieval Augmented Generation.
CoRR
Dongwon Jung, Qin Liu, Tenghao Huang, Ben Zhou, Muhao Chen
2024 J jnl
FoodPuzzle: Developing Large Language Model Agents as Flavor Scientists.
CoRR
Tenghao Huang, Donghee Lee, John Sweeney, Jiatong Shi, Emily Steliotes, Matthew Lange, Jonathan May, Muhao Chen
2024 — conf
Planning and Editing What You Retrieve for Enhanced Tool Learning.
NAACL-HLT (Findings)
Tenghao Huang, Dongwon Jung, Vaibhav Kumar, Mohammad Kachuee, Xiang Li, Puyang Xu, Muhao Chen
2024 J jnl
Planning and Editing What You Retrieve for Enhanced Tool Learning.
CoRR
Tenghao Huang, Dongwon Jung, Muhao Chen
2024 J jnl
Red Teaming Language Models for Contradictory Dialogues.
CoRR
Xiaofei Wen, Bangzheng Li, Tenghao Huang, Muhao Chen
2024 A* conf
Red Teaming Language Models for Processing Contradictory Dialogues.
EMNLP
Xiaofei Wen, Bangzheng Li, Tenghao Huang, Muhao Chen
2023 — conf
Affective and Dynamic Beam Search for Story Generation.
EMNLP (Findings)
Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi
2023 J jnl
Affective and Dynamic Beam Search for Story Generation.
CoRR
Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi
2023 A* conf
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models.
ICML
Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel
2023 J jnl
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models.
CoRR
Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel
2022 A* conf
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning.
NeurIPS
Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel
2022 J jnl
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning.
CoRR
Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel
2022 — conf
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization.
ACL (Findings)
Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi
2022 J jnl
Read Top News First: A Document Reordering Approach for Multi-Document News Summarization.
CoRR
Chao Zhao, Tenghao Huang, Somnath Basu Roy Chowdhury, Muthu Kumar Chandrasekaran, Kathleen R. McKeown, Snigdha Chaturvedi
2022 — conf
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach.
NAACL-HLT (Findings)
Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi
2022 J jnl
Revisiting Generative Commonsense Reasoning: A Pre-Ordering Approach.
CoRR
Chao Zhao, Faeze Brahman, Tenghao Huang, Snigdha Chaturvedi
2021 — conf
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference.
EMNLP (Findings)
Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi
2021 J jnl
Uncovering Implicit Gender Bias in Narratives through Commonsense Inference.
CoRR
Tenghao Huang, Faeze Brahman, Vered Shwartz, Snigdha Chaturvedi
2012 J jnl
Target Detection Algorithm Based on the Movement of Codebook Model.
Comput. Inf. Sci.
Kaige Chen, Xiaojun Han, Tenghao Huang