1 citations · 2 across the 10 of their papers we have counts for
10 papers
AlgoWorlds: Benchmarking Tool Use for Global Optimization in Algorithmic Worlds
Zixiang Xu, Jiaan Wang, Fandong Meng
Tool-use benchmarks generally evaluate whether an agent completes a workflow using appropriate tools and valid arguments. However, feasibility alone is insufficient in real-world d…
Fleet: Few Shots Lead Effective AI-generated Image Detection
Jiaan Wang, Sirui Liu, Yu Li +3
AI-generated image (AIGI) detection is undergoing a critical transition from laboratory benchmarks to open-world adversarial defense. The prevalent paradigm focuses on finding stat…
EvoBrowseComp: Benchmarking Search Agents on Evolving Knowledge
Yunhan Wang, Jiaan Wang, Lianzhe Huang +2
Search Agents -- large language models augmented with search tools -- have intensified the need for future-proof evaluation benchmarks. Existing benchmarks such as BrowseComp rely…
Beyond Semantic Features: Pixel-level Mapping for Generalized AI-Generated Image Detection
Chenming Zhou, Jiaan Wang, Yu Li +3
The rapid evolution of generative technologies necessitates reliable methods for detecting AI-generated images. A critical limitation of current detectors is their failure to gener…
SlangDIT: Benchmarking LLMs in Interpretative Slang Translation
Yunlong Liang, Fandong Meng, Jiaan Wang +1
The challenge of slang translation lies in capturing context-dependent semantic extensions, as slang terms often convey meanings beyond their literal interpretation. While slang de…
ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning
Jiaan Wang, Fandong Meng, Jie Zhou
In recent years, the emergence of large reasoning models (LRMs), such as OpenAI-o1 and DeepSeek-R1, has shown impressive capabilities in complex problems, e.g., mathematics and cod…
An Empirical Study of Many-to-Many Summarization with Large Language Models
Jiaan Wang, Fandong Meng, Zengkui Sun +5
Many-to-many summarization (M2MS) aims to process documents in any language and generate the corresponding summaries also in any language. Recently, large language models (LLMs) ha…
DeepTrans: Deep Reasoning Translation via Reinforcement Learning
Jiaan Wang, Fandong Meng, Jie Zhou
Recently, deep reasoning LLMs (e.g., OpenAI o1 and DeepSeek-R1) have shown promising performance in various downstream tasks. Free translation is an important and interesting task…
DRT: Deep Reasoning Translation via Long Chain-of-Thought
Jiaan Wang, Fandong Meng, Yunlong Liang +1
Recently, O1-like models have emerged as representative examples, illustrating the effectiveness of long chain-of-thought (CoT) in reasoning tasks such as math and coding tasks. In…
Retrieval-Augmented Machine Translation with Unstructured Knowledge
Jiaan Wang, Fandong Meng, Yingxue Zhang +1
Retrieval-augmented generation (RAG) introduces additional information to enhance large language models (LLMs). In machine translation (MT), previous work typically retrieves in-co…