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researcher

Ben Athiwaratkun

35 papers hereh-index 10914 citations38 works total

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

author position
  • middle author29
  • last author4

Across the 33 of 35 papers where every author was matched, so the position is known.

fields
  • cs.LG14
  • cs.CL13
  • cs.AI5
  • cs.CV2
  • cs.DC1
same name
  • Ben Athiwaratkun — 15 papers, h 12

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
20242026
most citedMixture-of-Agents Enhances Large Language Model Capabilities

25 citations · 52 across the 34 of their papers we have counts for

collaborators
Showing 2026 · cs.CLShow all

4 papers · 2 filters

cs.CL2026

Osprey: Target-agnostic Pre-training Makes Stronger Drafters in Speculative Decoding

Fengxiang Bie, Yuqing Jian, Yifan Yu +7

Speculative decoding is critical for accelerating LLM inference. However, the speedup is fragile: drafters are typically trained against a narrow distribution for a single target m…

cs.CL2026

Multi-Turn Agentic Scientific Literature Search via Workflow Induction

Jisen Li, Bingxuan Li, Nanyi Jiang +10

Scientific literature search often requires more than retrieving papers from a single query: users' intents are underspecified, preference-dependent, and evolve through interaction…

cs.CL2026

V1​: Unifying Generation and Self-Verification for Parallel Reasoners

Harman Singh, Xiuyu Li, Kusha Sareen +14

Test-time scaling for complex reasoning tasks shows that leveraging inference-time compute, by methods such as independently sampling and aggregating multiple solutions, results in…

cs.CL2026

Understanding and Steering the Cognitive Behaviors of Reasoning Models at Test-Time

Zhenyu Zhang, Xiaoxia Wu, Zhongzhu Zhou +7

Large Language Models (LLMs) often rely on long chain-of-thought (CoT) reasoning to solve complex tasks. While effective, these trajectories are frequently inefficient, leading to…

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