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Jiamian Wang

12 papers hereh-index 9332 citations27 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author4

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • eess.IV2
  • cs.AI1
  • cs.LG1
same name
  • Jiamian Wang — 1 paper
  • Jiamian Wang — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedText Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval

4 citations · 9 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.AI2026

Spurious Advantage Hidden in GRPO

Jiamian Wang, Samyadeep Basu, Koustava Goswami +2

Group Relative Policy Optimization (GRPO) is widely studied for reinforcement learning with verifiable rewards, where its advantage estimator assigns each rollout a magnitude from…

cs.CV2026

Latent-Centroid Steering: Single-Pass Classifier-Free Guidance for Command-Aligned Autonomous Driving

Meibo Hu, Jiamian Wang, Pichao Wang +1

Vision-language models (VLMs) have recently emerged as a promising paradigm for end-to-end autonomous driving, enabling agents to map multimodal inputs and high-level navigation in…

cs.LG2026

HindSearch: Trajectory-Level Hindsight Critique for Search-Augmented Reinforcement Learning

Haowei Liu, Jiamian Wang, Hsin-Tai Wu +2

Search-augmented LM agents are typically trained with a binary exact-match reward, which throws away most of what a failed trajectory tells us about why it failed. We introduce Hin…

cs.CV2026

DocArena: Turning Raw Documents into Controllable Training Environments for Document Search Agents

Jiamian Wang, Ruiyi Zhang, Tong Yu +5

Recent methods train search agents via reinforcement learning from (question, answer, evidence) tuples without requiring expert trajectories. The tuples serve as the training envir…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.