Publications (66)
Large Language Models Can Learn Temporal Reasoning
Siheng Xiong, Ali Payani, Ramana Kompella +1
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models
Qin Yang, Meisam Mohammad, Han Wang +5
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming
Ali Payani, Faramarz Fekri
SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models
Zirui He, Haiyan Zhao, Yiran Qiao +4
Model Editing as a Double-Edged Sword: Steering Agent Ethical Behavior Toward Beneficence or Harm
Baixiang Huang, Zhen Tan, Haoran Wang +6
Benchmarking LLMs for Political Science: A United Nations Perspective
Yueqing Liang, Liangwei Yang, Chen Wang +6
Rep2Text: Decoding Full Text from a Single LLM Token Representation
Haiyan Zhao, Zirui He, Yiming Tang +4
Balancing Faithfulness and Performance in Reasoning via Multi-Listener Soft Execution
Nithin Sivakumaran, Shoubin Yu, Hyunji Lee +4
Halo: Domain-Aware Query Optimization for Long-Context Question Answering
Pramod Chunduri, Francisco Romero, Ali Payani +2
Effective Training Data Synthesis for Improving MLLM Chart Understanding
Yuwei Yang, Zeyu Zhang, Yunzhong Hou +5
Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages
Zihao Li, Yucheng Shi, Zirui Liu +4
Effective Guidance for Model Attention with Simple Yes-no Annotations
Seongmin Lee, Ali Payani, Duen Horng Chau
Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning
Venkatesh Mishra, Bimsara Pathiraja, Mihir Parmar +5
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation
Yuan Yang, Siheng Xiong, Ali Payani +2
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on -bench
Venkatesh Mishra, Amir Saeidi, Satyam Raj +5
Program Semantic Inequivalence Game with Large Language Models
Antonio Valerio Miceli-Barone, Vaishak Belle, Ali Payani
TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning
Siheng Xiong, Yuan Yang, Ali Payani +2
Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning
Josh Andle, Ali Payani, Salimeh Yasaei-Sekeh
Text-to-SQL Error Correction with Language Models of Code
Ziru Chen, Shijie Chen, Michael White +5
When Fairness Meets Privacy: Fair Classification with Semi-Private Sensitive Attributes
Canyu Chen, Yueqing Liang, Xiongxiao Xu +5
Visual Question Answering based on Formal Logic
Muralikrishnna G. Sethuraman, Ali Payani, Faramarz Fekri +1
DynamicMem: A Long-Horizon Memory Benchmark in Real-World Settings
Wenya Xie, Shengming Zhou, Zelin Li +9
Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering
Yifan Yang, Ali Payani, Parinaz Naghizadeh
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator
Ziru Chen, Michael White, Raymond Mooney +3
Prompt Mining for Language-based Human Mobility Forecasting
Hao Xue, Tianye Tang, Ali Payani +1
Learning Algorithms via Neural Logic Networks
Ali Payani, Faramarz Fekri
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models
Yueqing Liang, Lu Cheng, Ali Payani +1
Mitigating Group Bias in Federated Learning: Beyond Local Fairness
Ganghua Wang, Ali Payani, Myungjin Lee +1
Bootstrapping LLM Robustness for VLM Safety via Reducing the Pretraining Modality Gap
Wenhan Yang, Spencer Stice, Ali Payani +1
Universal Activation Verbalizer: A Unified Framework for Cross-Model Activation Explanation
Haiyan Zhao, Zirui He, Guanchu Wang +3
Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study
Gustav A. Baumgart, Jaemin Shin, Ali Payani +2
Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey
Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang +56
SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models
Zirui He, Mingyu Jin, Bo Shen +3
Predicting Plasticity in Deep Continual Learning: A Theoretical Perspective
Jiuqi Wang, Jayanth Srinivasa, Claire Chen +3
Enhancing Long Chain-of-Thought Reasoning through Multi-Path Plan Aggregation
Siheng Xiong, Ali Payani, Faramarz Fekri
Can Knowledge Editing Really Correct Hallucinations?
Baixiang Huang, Canyu Chen, Xiongxiao Xu +2
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems
Bin Lei, Yi Zhang, Shan Zuo +2
Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems
Shanglin Wu, Yuyang Luo, Yueqing Liang +4
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
Yihao Xue, Ali Payani, Yu Yang +1
Generalization Error Bounds for Learning under Censored Feedback
Yifan Yang, Ali Payani, Parinaz Naghizadeh
InfantAgent-Next: A Multimodal Generalist Agent for Automated Computer Interaction
Bin Lei, Weitai Kang, Zijian Zhang +8
Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA
Jie Hao, Yuman Wu, Ali Payani +2
Learning Bug Context for PyTorch-to-JAX Translation with LLMs
Hung Phan, Son Vu, Tuan Dinh +3
LogitTrace: Detecting Benchmark Contamination via Layerwise Logit Trajectories
Zirui He, Haiyan Zhao, Yingcong Li +2
A Generic Framework for Conformal Fairness
Aditya T. Vadlamani, Anutam Srinivasan, Pranav Maneriker +2
\textsc{GUI-Spotlight}: Adaptive Iterative Focus Refinement for Enhanced GUI Visual Grounding
Bin Lei, Nuo Xu, Ali Payani +4
AdaMEM: Test-Time Adaptive Memory for Language Agents
Yunxiang Zhang, Yiheng Li, Ali Payani +1
FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments
Amir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay +4
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
Yifei Li, Hanane Nour Moussa, Ziru Chen +16
Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability
Dong Shu, Haiyan Zhao, Jingyu Hu +4
SketchQL Demonstration: Zero-shot Video Moment Querying with Sketches
Renzhi Wu, Pramod Chunduri, Dristi J Shah +5
AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control
Ruosen Li, Ziming Luo, Quan Zhang +4
Can LLMs Reason in the Wild with Programs?
Yuan Yang, Siheng Xiong, Ali Payani +2
Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization
Yuchi Liu, Jaskirat Singh, Gaowen Liu +2
Towards Strong Certified Defense with Universal Asymmetric Randomization
Hanbin Hong, Ashish Kundu, Ali Payani +2
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
Haiyan Zhao, Heng Zhao, Bo Shen +3
Command-V: Pasting LLM Behaviors via Activation Profiles
Barry Wang, Avi Schwarzschild, Alexander Robey +4
Inductive Logic Programming via Differentiable Deep Neural Logic Networks
Ali Payani, Faramarz Fekri
D3-Gym: Constructing Real-World Verifiable Environments for Data-Driven Discovery
Hanane Nour Moussa, Yifei Li, Zhuoyang Li +7
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs
Pranav Maneriker, Aditya T. Vadlamani, Anutam Srinivasan +3
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models
Hossein Khalili, Seongbin Park, Vincent Li +4
Temporal Inductive Logic Reasoning over Hypergraphs
Yuan Yang, Siheng Xiong, Ali Payani +2
Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity
Dang Nguyen, Ali Payani, Baharan Mirzasoleiman
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity
Siddharth Joshi, Arnav Jain, Ali Payani +1
Deliberate Reasoning in Language Models as Structure-Aware Planning with an Accurate World Model
Siheng Xiong, Ali Payani, Yuan Yang +1
MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidance
Joseph J. Peper, Wenzhao Qiu, Ali Payani +1