activity
20242026
most citedTodyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization

2 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2026

EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium

Yuqiao Meng, Sakshi Sunil Narvekar, Luoxi Tang +4

Multi-agent debate (MAD) systems increasingly rely on shared memory to support long-horizon reasoning, but this convenience opens a critical vulnerability: a single corrupted entry…

cs.CL2026

ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation

Kunquan Li, Yingxue Zhang, Fandong Meng +1

Recent years have witnessed growing interest in applying Large Reasoning Models (LRMs) to Machine Translation (MT). Existing approaches predominantly adopt a "think-first-then-tran…

cs.LG2026

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models

Chris Cameron, Wangzheng Wang, Nikita Ivanov +3

Looped transformers scale computational depth without increasing parameter count by repeatedly applying a shared transformer block and can be used for iterative refinement, where e…

cs.CL2025

InvertiTune: High-Quality Data Synthesis for Cost-Effective Single-Shot Text-to-Knowledge Graph Generation

Faezeh Faez, Marzieh S. Tahaei, Yaochen Hu +4

Large Language Models (LLMs) have revolutionized the ability to understand and generate text, enabling significant progress in automatic knowledge graph construction from text (Tex…

cs.RO2025

When Engineering Outruns Intelligence: Rethinking Instruction-Guided Navigation

Matin Aghaei, Lingfeng Zhang, Mohammad Ali Alomrani +2

Recent ObjectNav systems credit large language models (LLMs) for sizable zero-shot gains, yet it remains unclear how much comes from language versus geometry. We revisit this quest…

cs.AI2024

Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers

Raika Karimi, Faezeh Faez, Yingxue Zhang +4

Contemporary hardware design benefits from the abstraction provided by high-level logic gates, streamlining the implementation of logic circuits. Logic Synthesis Optimization (LSO)…

cs.CL2024

EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems

Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga +12

The emerging citation-based QA systems are gaining more attention especially in generative AI search applications. The importance of extracted knowledge provided to these systems i…

cs.LG2024★ 2 cited

Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization

Mahdi Biparva, Raika Karimi, Faezeh Faez +1

Temporal Graph Neural Networks have garnered substantial attention for their capacity to model evolving structural and temporal patterns while exhibiting impressive performance. Ho…