
Distills multi-agent debate into one LLM through reasoning-enhanced fine-tuning, trajectory-based augmentation, and process-aware distillation. NeurIPS 2026.
Sep 24, 2026

A unified study of LLM self-distillation that combines teacher agreement, EMA stabilization, contrastive learning, feature matching, and divergence clipping to improve adaptation without stronger external teachers.
May 30, 2026
Safeguards frozen large language models by learning adaptive, query-conditioned system prompts. Enables fine-grained safety control without modifying model weights. Accepted at ICLR 2026.
Apr 23, 2026

Hierarchical agentic framework for multi-page visual document understanding. Decomposes reasoning into global, page, and element levels to handle slide decks, financial reports, and infographics. Accepted at ACL 2026 main conference.
Mar 15, 2026

Selective and Adaptive Retrieval-augmented Generation with Context Compression. A unified RAG framework that combines fine-grained natural-language spans with compact semantic compression vectors under strict context budgets. Accepted at ACL 2026 main conference.
Mar 15, 2026
A multimodal LLM for Graphical User Interface understanding and action prediction. Introduces a stateful screen schema that summarizes dynamic UI sessions as time-aware text and a key-frame extractor for significant UI transitions. WebConf 2025 MM4SG Workshop.
Apr 30, 2025
A 2-million, 30-year cross-disciplinary dataset for temporal scientometric analysis. Reveals disparities in epistemic cultures, citation practices, and knowledge production modes across fields. Best Paper Award at Good-Data @ AAAI 2025 Workshop.
Mar 3, 2025
First LLM-based peer review simulation framework that disentangles latent factors driving reviewer decisions. Reveals a 37.1% variation in paper decisions due to reviewer biases. EMNLP 2024 Oral.
Nov 12, 2024
A benchmark for evaluating multimodal LLMs on social media platforms, covering misinformation, sentiment, hate speech, and humor across image-text content. ACL 2024 (Findings).
May 15, 2024

Studies competition dynamics among LLM-based agents in a simulated virtual town with restaurant and customer agents. Reveals emergent behaviors and strategic patterns aligned with market and sociological theories. ICML 2024 Oral.
May 1, 2024