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From the 2 of 16 linked papers with an AI index.

collaborators

16 papers

cs.LG2026

TAPO: Transition-Aware Policy Optimization for LLM Agents

Cong Li, Peixi Peng, Yisen Zhao +4

The paper introduces TAPO, a training framework that augments reinforcement learning for large language model agents with action‑conditioned next‑observation prediction, improving…

cs.CL2026

Kimi K3: Open Frontier Intelligence

Kimi Team, Tongtong Bai, Yifan Bai +398

We introduce Kimi K3, a 2.8T parameter Mixture-of-Experts model with 104 billion activated parameters, native vision capabilities, and a 1-million-token context window. Kimi K3 is…

cs.AI2026

AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities

Kai Chen, Zichen Ding, Jiaye Ge +22

The paper presents AgentCompass, an open‑source infrastructure that standardizes and simplifies the evaluation of large‑language‑model based autonomous agents by separating benchma…

cs.AI2026

Expectation Alignment of Language Models for Real-World User Expectations

Miaomiao Li, Yang Wang, Bin Liang +3

Large language models (LLMs) have demonstrated remarkable performance on standard benchmarks, yet it remains largely unexplored whether they truly meet user expectations. Existing…

cs.CL2026

From Scenes to Elements: Multi-Granularity Evidence Retrieval for Verifiable Multimodal RAG

Guanhua Chen, Chuyue Huang, Yutong Yao +4

Multimodal Retrieval-Augmented Generation (RAG) systems retrieve evidence at coarse granularities (entire images or scenes), creating a mismatch with fine-grained user queries and…

cs.CL2026

Chain-of-Procedure: Hierarchical Visual-Language Reasoning for Procedural QA

Guanhua Chen, Yutong Yao, Shenghe Sun +5

Recent advances in vision-language models (VLMs) have achieved impressive results on standard image-text tasks, yet their potential for visual procedure question answering (VP-QA)…