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Junhao Wang

5 papers hereh-index 3278 citations6 works total

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

author position
  • middle author3
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.AI1
same name
  • Junhao Wang — 6 papers, h 8
  • Junhao Wang — 3 papers, h 3
  • Junhao Wang — 2 papers, h 3
  • Junhao Wang — 1 paper, h 1
  • Junhao Wang — 1 paper, h 0
  • Junhao Wang — 1 paper, h 2

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

collaborators

5 papers

cs.AI2026

SAGE-32B: Agentic Reasoning via Iterative Distillation

Basab Jha, Firoj Paudel, Ujjwal Puri +6

We demonstrate SAGE-32B, a 32 billion parameter language model that focuses on agentic reasoning and long range planning tasks. Unlike chat models that aim for general conversation…

cs.CL2026

SAGE Celer 2.6 Technical Card

SAGEA Research Team, Basab Jha, Firoj Paudel +8

We introduce SAGE Celer 2.6, the latest in our line of general-purpose Celer models from SAGEA. Celer 2.6 is available in 5B, 10B, and 27B parameter sizes and benefits from extensi…

cs.CL2026

Memory in the Age of AI Agents

Yuyang Hu, Shichun Liu, Yanwei Yue +44

Memory has emerged, and will continue to remain, a core capability of foundation model-based agents. As research on agent memory rapidly expands and attracts unprecedented attentio…

cs.CL2025

MemEvolve: Meta-Evolution of Agent Memory Systems

Guibin Zhang, Haotian Ren, Chong Zhan +5

Self-evolving memory systems are unprecedentedly reshaping the evolutionary paradigm of large language model (LLM)-based agents. Prior work has predominantly relied on manually eng…

cs.CL2025

AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?

Guibin Zhang, Junhao Wang, Junjie Chen +3

Large Language Model (LLM)-based agentic systems, often comprising multiple models, complex tool invocations, and orchestration protocols, substantially outperform monolithic agent…

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