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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.CL2026

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

Lei Bai, Zongsheng Cao, Yang Chen +50

The paper introduces Agents-A1, a 35B mixture-of-experts agent model that attains trillion-parameter-level performance by extending the length of reasoning horizons and integrating…

cs.AI2026

Agents-K1: Towards Agent-native Knowledge Orchestration

Zongsheng Cao, Bihao Zhan, Jinxin Shi +25

Current LLM-based research agents have advanced through agent orchestration, yet largely overlook scientific knowledge orchestration. Existing works often reduce papers to abstract…

physics.comp-ph2026

Deep Research in Physical Sciences: A Multi-Agent Framework and Comprehensive Benchmark

Yigeng Jiang, Tengchao Yang, Taoyong Cui +25

Deep research agents are Large Language Model (LLM)-based systems designed for autonomous, multi-step scientific reasoning, and they hold immense potential for accelerating researc…

cs.AI2026

Step-GRPO: Internalizing Dynamic Early Exit for Efficient Reasoning

Benteng Chen, Weida Wang, Shufei Zhang +2

Large reasoning models that use long chain-of-thought excel at problem-solving yet waste compute on redundant checks. Curbing this overthinking is hard: training-time length penalt…

cs.AI2025

AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search

Xiaozhuang Song, Xuanhao Pan, Xinjian Zhao +4

Retrosynthesis planning enables the discovery of viable synthetic routes for target molecules, playing a crucial role in domains like drug discovery and materials design. Multi-ste…