---
title: "Who cites Federico Cassano — page 4 — 1,521 citing papers"
description: "1,521 papers of the Elamur Research library cite the works of Federico Cassano, found in their bibliographies · page 4 of 5 · 301–400; the…"
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---
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# Who cites Federico Cassano

1,536 citations of their works from 1,521 papers of our library (of the 149,439 whose bibliographies we read) · 415 with a page here, the most cited first · page 4 of 5 · 301–400 · [← Federico Cassano](https://md.research.elamur.ai/free/en/authors/federico-cassano/)

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301. **[Rethinking Scale: Deployment Trade-offs of Small Language Models under Agent Paradigms](https://md.research.elamur.ai/free/en/papers/wang-2026-rethinking-scale-deployment-trade-offs/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinlin Wang*2026 · 1 citation*
302. **[Robust Tool Use via Fission-GRPO: Learning to Recover from Execution Errors](https://md.research.elamur.ai/free/en/papers/zhang-2026-robust-tool-use-fission-grpo/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiwei Zhang, Fei Zhao, Rui Wang, et al.*2026 · 1 citation*
303. **[SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator](https://md.research.elamur.ai/free/en/papers/zhou-2026-safeagent-safeguarding-llm-agents-automated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xueyang Zhou, Weidong Wang, Lin Lu, et al.*2026 · 1 citation*
304. **[SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs](https://md.research.elamur.ai/free/en/papers/sun-2026-sepseq-training-free-framework-long/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jie Sun, Yu Liu, Lu Han, et al.*2026 · 1 citation*
305. **[Sifei at SemEval-2026 Task 8: Hybrid Retrieval and Query Rewriting for Multi-Turn RAG](https://md.research.elamur.ai/free/en/papers/meng-2026-sifei-semeval-2026-task-8/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Sifei Meng, Dmitry Ilvovsky*2026 · 1 citation*
306. **[Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier](https://md.research.elamur.ai/free/en/papers/zhong-2026-solve-detect-verify-inference-time/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianyuan Zhong, Zeju Li, Zhijian Xu, et al.*2026 · 1 citation*
307. **[sutta at SemEval-2026 Task 12: A Multi-Perspective Retrieve-Verify-Aggregate Framework for Abductive Event Reasoning](https://md.research.elamur.ai/free/en/papers/zou-2026-sutta-semeval-2026-task-12/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Junliu Zou, Liang Yang, Jingjie Zeng*2026 · 1 citation*
308. **[Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/metel-2026-thinking-long-but-short-stable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Michael R. Metel, Yufei Cui, Boxing Chen, et al.*2026 · 1 citation*
309. **[Thinking with Reasoning Skills: Fewer Tokens, More Accuracy](https://md.research.elamur.ai/free/en/papers/zhao-2026-thinking-reasoning-skills-fewer-tokens/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangxiang Zhao, Qilong Shi, Xusen Xiao, et al.*2026 · 1 citation*
310. **[ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers](https://md.research.elamur.ai/free/en/papers/sengupta-2026-tooldreamer-instilling-llm-reasoning-into/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Saptarshi Sengupta, Zhengyu Zhou, Jun Araki, et al.*2026 · 1 citation*
311. **[Uncertainty-Aware Contrastive Sentence Embedding With Local Context Representation for Text Classification](https://md.research.elamur.ai/free/en/papers/liu-2026-uncertainty-aware-contrastive-sentence-embedding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Han Liu, Jiaqing Zhan, Zhichao Chen, et al.*2026 · 1 citation*
312. **[WebRollback: Enhancing Web Agents with Explicit Rollback Mechanisms](https://md.research.elamur.ai/free/en/papers/zhang-2026-webrollback-enhancing-web-agents-explicit/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zhisong Zhang, Tianqing Fang, Kaixin Ma, et al.*2026 · 1 citation*
313. **[YNU-NLP at SemEval-2026 Task 11: A Neuro-Symbolic Approach with Reflexion Mechanism Disentangling Content and Formal Reasoning in Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-ynu-nlp-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yu Wang, You Zhang, Hao Zhang, et al.*2026 · 1 citation*
314. [**Adaptive Originality Filtering: Rejection Based Prompting and RiddleScore for Culturally Grounded Multilingual Riddle Generation arXiv:2508.18709**Duy Le, Kent Ziti, Evan Girard-Sun, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/le-2025-adaptive-originality-filtering-rejection-based/)
315. **[Fahmni at AraHealthQA Track 1: Multi-Agent Retrieval-Augmented Generation and Multi-Label Classification for Arabic Mental Health Q&A](https://md.research.elamur.ai/free/en/papers/sabty-2025-fahmni-arahealthqa-track-1-multi/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Caroline Sabty, Mohamad Rasmy, Mohamed Eyad Badran, et al.*2025 · 1 citation*
316. **[Deep Learning Based Code Generation Methods: Literature Review (基于深度学习的代码生成方法研究进展)](https://md.research.elamur.ai/free/en/papers/yang-2023-deep-learning-code/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Zezhou Yang (杨泽洲), Sirong Chen (陈思榕), Cuiyun Gao (高翠芸), et al.*2023 · 1 citation*
317. **[A Recipe for Adapting Multilingual Embedders to OCR-Error Robustness and Historical Texts](https://md.research.elamur.ai/free/en/papers/michail-2026-recipe-adapting-multilingual-embedders-ocr/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Andrianos Michail, Stylianos Psychias, Juri Opitz, et al.*2026*
318. **[Action Boundary Blindness: When LLM Agents Cannot Tell Where One Action Ends and Another Begins](https://md.research.elamur.ai/free/en/papers/wang-2026-action-boundary-blindness-when-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhangyi Wang, Bingnan Yu, Jiexiang Xu, et al.*2026*
319. **[AgentFactory: A Self-Evolving Framework Through Executable Subagent Accumulation and Reuse](https://md.research.elamur.ai/free/en/papers/zhang-2026-agentfactory-self-evolving-framework-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhang Zhang, Shuqi Lu, Hongjin Qian, et al.*2026*
320. **[ARC: Active and Reflection-driven Context Management for Long-Horizon Information Seeking Agents](https://md.research.elamur.ai/free/en/papers/yao-2026-arc-active-reflection-driven-context/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yilun Yao, Shan Huang, Elsie Dai, et al.*2026*
321. **[ARCHITECT: Uncertainty-Aware Dynamic Tool Learning via Causal Intervention for Open-World Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-architect-uncertainty-aware-dynamic-tool/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhangyi Wang, Jiexiang Xu, Bingnan Yu, et al.*2026*
322. **[Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers](https://md.research.elamur.ai/free/en/papers/zhao-2026-are-my-optimized-prompts-compromised/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Andrew Zhao, Reshmi Ghosh, Vitor R. Carvalho, et al.*2026*
323. **[ARQA: A Benchmark for Grounded Table–Text QA in Enterprise Annual Reports](https://md.research.elamur.ai/free/en/papers/wang-2026-arqa-benchmark-grounded-table-text/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ruilong Wang, Simone Balloccu*2026*
324. **[Attribution-Based Analysis and Optimization of Modular Agentic Workflows](https://md.research.elamur.ai/free/en/papers/yang-2026-attribution-based-analysis-optimization-modular/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingxuan Yang, Bo Huang, Siyuan Qi, et al.*2026*
325. **[BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation](https://md.research.elamur.ai/free/en/papers/yuan-2026-bayesflow-probability-inference-framework-meta/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bo Yuan, Yun Zhou, Zhichao Xu, et al.*2026*
326. **[Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-beyond-length-scaling-synergizing-breadth/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiyuan Zhang, Yufei Wang, Tianhe Wu, et al.*2026*
327. **[Bi-Text Mining across German Dialects: On the Role of Synthetic Training Data for Dialect Adaptation](https://md.research.elamur.ai/free/en/papers/wang-2026-bi-text-mining-across-german/) [Workshop on Building and Using Comparable Corpora (BUCC)](https://md.research.elamur.ai/free/en/venues/bucc/)**Jing Wang, Barbara Plank, Robert Litschko*2026*
328. **[Bootstrapping Code Translation with Weighted Multilanguage Exploration](https://md.research.elamur.ai/free/en/papers/wu-2026-bootstrapping-code-translation-weighted-multilanguage/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhan Wu, Huan Zhang, Wei Cheng, et al.*2026*
329. **[Building Multi-turn Intent Classification with LLM-based Labeling](https://md.research.elamur.ai/free/en/papers/xie-2026-building-multi-turn-intent-classification/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Biancen Xie, Kaiqi Bian, Jai Ranjan Singh Gusain, et al.*2026*
330. **[C-World: A Computer Use Agent Environment Creator](https://md.research.elamur.ai/free/en/papers/xi-2026-c-world-computer-use-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziqiao Xi, Shuang Liang, Qi Liu, et al.*2026*
331. **[Can LLMs Self-Correct Table Reasoning Errors?](https://md.research.elamur.ai/free/en/papers/shaikh-2026-can-llms-self-correct-table/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Farseen Shaikh*2026*
332. **[CANDICE: Agentic Causal Disentanglement with Class Conditional Knowledge Integration for Long Tailed Domain Generalization](https://md.research.elamur.ai/free/en/papers/urooj-2026-candice-agentic-causal-disentanglement-class/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Midhat Urooj, Ayan Banerjee, Sandeep Gupta*2026*
333. **[CAR: Empowering Agents with Dynamic Tool Synthesis and Global Trajectory Rectification](https://md.research.elamur.ai/free/en/papers/wang-2026-car-empowering-agents-dynamic-tool/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kai Wang, Xu Wang, Zhiyuan Fu, et al.*2026*
334. **[CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/wu-2026-cia-inferring-communication-topology-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yongxuan Wu, Xixun Lin, He Zhang, et al.*2026*
335. **[CLAG: Adaptive Memory Organization via Agent-Driven Clustering for Small Language Model Agents](https://md.research.elamur.ai/free/en/papers/roh-2026-clag-adaptive-memory-organization-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Taeyun Roh, WonJune Jang, Junha Jung, et al.*2026*
336. **[Code over Words: Overcoming Semantic Inertia via Code-Grounded Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-code-over-words-overcoming-semantic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Manjie Xu, Isabella Yin, Xinyi Tu, et al.*2026*
337. **[CodeRise: Bootstrapping LLMs for Ultra Low-Resource Programming Languages via Progressive Self-Refinement Curriculum](https://md.research.elamur.ai/free/en/papers/wen-2026-coderise-bootstrapping-llms-ultra-low/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tengfei Wen, Xuanang Chen, Ben He, et al.*2026*
338. **[CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution](https://md.research.elamur.ai/free/en/papers/yang-2026-coevolve-training-llm-agents-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shidong Yang, Ziyu Ma, Tongwen Huang, et al.*2026*
339. [**Computational models of pragmatic reasoning with flexible generation of meaning and expression alternatives arXiv:2607.18443**Polina Tsvilodub, Fausto Carcassi, Michael Franke*2026*](https://md.research.elamur.ai/free/en/papers/tsvilodub-2026-computational-models-pragmatic-reasoning-flexible/)
340. **[ConMA : Confidence-Guided Kernel Sampling with Multi-Stage Aggregation for LLM Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-conma-confidence-guided-kernel-sampling/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yinuo Wang, Qingjie Li, Wenyao Cui, et al.*2026*
341. **[Contract-Coding: Towards Repo-Level Generation via Structured Symbolic Paradigm](https://md.research.elamur.ai/free/en/papers/yilin-2026-contract-coding-repo-level-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yilin, Lujin Zhao, Yijie Shi*2026*
342. **[CRPS: Curriculum Replay via Progressive Suffixes from Successful Trajectories for Long-Horizon LLM Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-crps-curriculum-replay-progressive-suffixes/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zijing Zhang, Xiajie Yang*2026*
343. **[Demystify the Role of Memory in Machine Learning Engineering Agents](https://md.research.elamur.ai/free/en/papers/zhao-2026-demystify-role-memory-machine-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinyu Zhao, Junpeng Wang, Yuzhong Chen, et al.*2026*
344. **[Disagreement-Driven Joint Refinement of Retrieval and Decision Rules for Imbalanced Counseling Risk Classification](https://md.research.elamur.ai/free/en/papers/shao-2026-disagreement-driven-joint-refinement-retrieval/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Zhihao Shao, Ryo Sekizaki, Shengzhou Yi, et al.*2026*
345. **[Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/wang-2026-do-we-always-need-query/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zixu Wang, Bingbing Xu, Yige Yuan, et al.*2026*
346. **[DORA: A Dual-Objective Reinforcement Learning Framework for Effective and Efficient Multimodal Agentic Search](https://md.research.elamur.ai/free/en/papers/qin-2026-dora-dual-objective-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangming Qin, Yuhao Deng, Yukun Zhao, et al.*2026*
347. **[DPEPO: Diverse Parallel Exploration Policy Optimization for LLM-based Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-dpepo-diverse-parallel-exploration-policy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**JunShuo Zhang, Chengrui Huang, Feng Guo, et al.*2026*
348. **[DSMentor: Curriculum-Guided Inference with Online Memory for Data-Science LLM Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-dsmentor-curriculum-guided-inference-online/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**He Wang, Alexander Hanbo Li, Yiqun Hu, et al.*2026*
349. **[FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments](https://md.research.elamur.ai/free/en/papers/saeidi-2026-fama-failure-aware-meta-agentic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Amir Saeidi, Venkatesh Mishra, Souradeep Mukhopadhyay, et al.*2026*
350. **[Feedback Is The Key for Automated Survey Generation](https://md.research.elamur.ai/free/en/papers/xu-2026-feedback-is-key-automated-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tianyi Xu, Zhe Zhao, Tianshuo Wei, et al.*2026*
351. **[Feedback-Aware Prompt Optimization Framework for Generating Job Postings](https://md.research.elamur.ai/free/en/papers/maharjan-2026-feedback-aware-prompt-optimization-framework/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Suraj Maharjan, Ainur Yessenalina, Srinivasan H. Sengamedu*2026*
352. **[FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation](https://md.research.elamur.ai/free/en/papers/oh-2026-finest-improving-llm-responses-sensitive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Juhyun Oh, Nayeon Lee, Chani Jung, et al.*2026*
353. **[From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents](https://md.research.elamur.ai/free/en/papers/tan-2026-coarse-fine-self-adaptive-hierarchical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoran Tan, Zeyu Zhang, Chen Ma, et al.*2026*
354. **[FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-fusionflow-enabling-deep-structural-exploration/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiang Wang, Zongtao Yang, Zhuojian Hong, et al.*2026*
355. **[GaLa: Hypergraph-Guided Visual Language Models for Procedural Planning](https://md.research.elamur.ai/free/en/papers/wang-2026-gala-hypergraph-guided-visual-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kun Wang, Li Yiming, Mingcheng Qu, et al.*2026*
356. **[GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks](https://md.research.elamur.ai/free/en/papers/luo-2026-gate-graph-based-adaptive-tool/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianwen Luo, Yiming Huang, Jinxiang Meng, et al.*2026*
357. **[GR1: Reinforcement-Enhanced LLM for Geoscience Reasoning](https://md.research.elamur.ai/free/en/papers/xie-2026-gr1-reinforcement-enhanced-llm-geoscience/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yule Xie, Jiaxin Ding, Cheng Deng, et al.*2026*
358. **[How Adversarial Environments Mislead Agentic AI?](https://md.research.elamur.ai/free/en/papers/zhan-2026-how-adversarial-environments-mislead-agentic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhonghao Zhan, Huichi Zhou, Zhenhao Li, et al.*2026*
359. **[Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization](https://md.research.elamur.ai/free/en/papers/zhang-2026-improving-retrieval-augmented-generation-without/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gongbo Zhang, Yifan Peng, Chunhua Weng*2026*
360. **[Information Representation Fairness in Long-Document Embeddings: The Peculiar Interaction of Positional and Language Bias](https://md.research.elamur.ai/free/en/papers/schuhmacher-2026-information-representation-fairness-long-document/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Elias Schuhmacher, Andrianos Michail, Juri Opitz, et al.*2026*
361. **[LCO: LLM-based Constraint Optimization for Safer Agentic LLMs in Real-world Tasks](https://md.research.elamur.ai/free/en/papers/wan-2026-lco-llm-based-constraint-optimization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiayong Wan, Jiawei Chen, Zhaoxia Yin, et al.*2026*
362. **[Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory](https://md.research.elamur.ai/free/en/papers/xu-2026-learning-how-what-memorize-cognition/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Derong Xu, Shuochen Liu, Pengfei Luo, et al.*2026*
363. **[LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph Retrieval](https://md.research.elamur.ai/free/en/papers/wang-2026-ledger-scaling-agentic-document-editing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hang Wang, Utkarsh Garg, Reza Davari, et al.*2026*
364. **[Let the Comments Speak: A Multi-Agent Framework based on Large Language Model for Comment-Guided Code Refactoring](https://md.research.elamur.ai/free/en/papers/wang-2026-let-comments-speak-multi-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zixuan Wang, Wutong Yu, Deyu Zhou*2026*
365. **[LLMs Meet Isolation Kernel: Lightweight, Learning-free Binary Embeddings for Fast Retrieval](https://md.research.elamur.ai/free/en/papers/zhang-2026-llms-meet-isolation-kernel-lightweight/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhibo Zhang, Yang Xu, Kai Ming Ting, et al.*2026*
366. **[MADRA: Multi-Agent Debate for Risk-Aware Embodied Planning](https://md.research.elamur.ai/free/en/papers/wang-2026-madra-multi-agent-debate-risk/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**JunJian Wang, Lidan Zhao, Xi Sheryl Zhang*2026*
367. **[MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing](https://md.research.elamur.ai/free/en/papers/liu-2026-masfactory-graph-centric-framework-orchestrating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Liu, Jinxuan Cai, Yishen Li, et al.*2026*
368. **[MavenCoder: Competitive Code Generation via Model Adaptive Planning Strategies and Multi-Perspective Verification Enhancement](https://md.research.elamur.ai/free/en/papers/xu-2026-mavencoder-competitive-code-generation-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**ZhenChun Xu, Yi Cai, Dajun Zheng, et al.*2026*
369. **[MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning](https://md.research.elamur.ai/free/en/papers/ye-2026-memweaver-weaving-hybrid-memories-traceable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Juexiang Ye, Xue Li, Yang Xinyu, et al.*2026*
370. **[Mixed-Policy GRPO for Text-to-SQL with Off-Policy Data Generation](https://md.research.elamur.ai/free/en/papers/sterbentz-2026-mixed-policy-grpo-text-sql/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Marko Sterbentz, Michael Glass, Nhan H Pham, et al.*2026*
371. **[Model-Based Imaginative Planning for Embodied Agents](https://md.research.elamur.ai/free/en/papers/song-2026-model-based-imaginative-planning-embodied/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junru Song, Hengzhe Jin, Yucong Huang, et al.*2026*
372. **[Modeling semantic association in self-paced reading with language model embeddings](https://md.research.elamur.ai/free/en/papers/ostergaard-2026-modeling-semantic-association-self-paced/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Sara Møller Østergaard, Kenneth Enevoldsen, Afra Alishahi, et al.*2026*
373. **[MoEC: A Memory-Routed Mixture-of-Experts Controller for Adaptive Minecraft Control](https://md.research.elamur.ai/free/en/papers/wu-2026-moec-memory-routed-mixture-experts/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hui Wu, Chao Xu, Jianghui Wang, et al.*2026*
374. **[Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation](https://md.research.elamur.ai/free/en/papers/shen-2026-multi-agent-debate-machine-translation/) [Annual Conference of the European Association for Machine Translation (EAMT)](https://md.research.elamur.ai/free/en/venues/eamt/)**Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.*2026*
375. **[Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement](https://md.research.elamur.ai/free/en/papers/ying-2026-multi-agent-procedural-graph-extraction/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wangyang Ying, Yanchi Liu, Xujiang Zhao, et al.*2026*
376. **[Multi-Constraint State Tracking with Negation: A Diagnostic Benchmark for LLM World Modeling](https://md.research.elamur.ai/free/en/papers/sar-2026-multi-constraint-state-tracking-negation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ayan Sar, Pranav Singh Puri, Sumit Aich, et al.*2026*
377. **[NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering](https://md.research.elamur.ai/free/en/papers/shi-2026-ng-router-graph-supervised-multi/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, et al.*2026*
378. **[NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise](https://md.research.elamur.ai/free/en/papers/xu-2026-noisycausal-benchmark-evaluating-causal-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhi Xu, Yun Fu*2026*
379. **[OntoGuard: Enforcing Action Admissibility for LLM Agents in Complex Interactive Environments](https://md.research.elamur.ai/free/en/papers/liu-2026-ontoguard-enforcing-action-admissibility-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pengxiang Liu, Tao Ren, Wei Xiong, et al.*2026*
380. **[PACE: Predictive Adaptive Context Extraction for Long-Horizon LLM Agents](https://md.research.elamur.ai/free/en/papers/wei-2026-pace-predictive-adaptive-context-extraction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lei Wei, Xiao Peng, Tt, et al.*2026*
381. **[ParaCook: On Time-Efficient Planning for Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/zhang-2026-paracook-time-efficient-planning-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shiqi Zhang, Xinbei Ma, Yunqing Xu, et al.*2026*
382. **[Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow](https://md.research.elamur.ai/free/en/papers/zhong-2026-parallelism-generation-order-masked-diffusion/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yangyang Zhong, Yanmei Gu, Zhengqing Zang, et al.*2026*
383. **[PARL: Prompt-based Agents for Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/resendiz-2026-parl-prompt-based-agents-reinforcement/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yarik Menchaca Resendiz, Roman Klinger*2026*
384. **[PaT: Planning-after-Trial for Efficient Test-Time Code Generation](https://md.research.elamur.ai/free/en/papers/yoon-2026-pat-planning-after-trial-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Youngsik Yoon, Sungjae Lee, Seockbean Song, et al.*2026*
385. **[Pause or Fabricate? Training Language Models for Grounded Reasoning](https://md.research.elamur.ai/free/en/papers/qiu-2026-pause-or-fabricate-training-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiwen Qiu, Linjuan Wu, Yizhou Liu, et al.*2026*
386. **[PExA: Parallel Exploration Agent for Complex Text-to-SQL](https://md.research.elamur.ai/free/en/papers/parekh-2026-pexa-parallel-exploration-agent-complex/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tanmay Parekh, Ella Hofmann-Coyle, Shuyi Wang, et al.*2026*
387. **[Position Encoding with Random Float Sampling Enhances Length Generalization of Transformers](https://md.research.elamur.ai/free/en/papers/shimizu-2026-position-encoding-random-float-sampling/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Atsushi Shimizu, Shohei Taniguchi, Yutaka Matsuo*2026*
388. **[PubMed Reasoner: Dynamic Reasoning-based Retrieval for Evidence-Grounded Biomedical Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2026-pubmed-reasoner-dynamic-reasoning-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yiqing Zhang, Xiaozhong Liu, Fabricio Murai*2026*
389. **[RACC: Regret-Aware Confidence Calibration for Consistent Masked Discrete Diffusion Decoding](https://md.research.elamur.ai/free/en/papers/zeng-2026-racc-regret-aware-confidence-calibration/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qinglin Zeng, Jusheng Zhang, Jing Yang, et al.*2026*
390. **[Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search](https://md.research.elamur.ai/free/en/papers/zhang-2026-reasoning-as-gradient-scaling-mle/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yifei Zhang, Xu Yang, Xiao Yang, et al.*2026*
391. **[Reinforced Agent: Inference-Time Feedback for Tool-Calling Agents](https://md.research.elamur.ai/free/en/papers/ta-2026-reinforced-agent-inference-time-feedback/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Anh Ta, Junjie Zhu, Shahin Shayandeh*2026*
392. **[RouterHGC: Optimized Router for LLM-based Multi-Agent Systems via Heterogeneous Graph Contrastive Learning](https://md.research.elamur.ai/free/en/papers/xiao-2026-routerhgc-optimized-router-llm-based/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yitao Xiao, Shaoyong Guo, Guoming Yang, et al.*2026*
393. **[RSMeM: Knowledge-Enhanced Memory Evolution for Remote Sensing Agents with Systematic Evaluation](https://md.research.elamur.ai/free/en/papers/wu-2026-rsmem-knowledge-enhanced-memory-evolution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bingxian Wu, Yu Zhang, Zonghao Guo, et al.*2026*
394. **[RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library](https://md.research.elamur.ai/free/en/papers/wang-2026-rv-syn-rational-verifiable-mathematical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiapeng Wang, Jinhao Jiang, Zhiqiang Zhang, et al.*2026*
395. **[SAMem: State-Aware Memory as a Fine-Grained Memory for LLM Agents in Decision-Making](https://md.research.elamur.ai/free/en/papers/wang-2026-samem-state-aware-memory-as/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tong Wang, Pei Xu, Shiyue Cao, et al.*2026*
396. **[Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-seeing-isn-t-believing-mitigating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hanlin Wang, Chak Tou Leong, Jian Wang, et al.*2026*
397. **[Self-Reflective Generation at Test Time](https://md.research.elamur.ai/free/en/papers/mu-2026-self-reflective-generation-test-time/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jian Mu, Qixin Zhang, Zhiyong Wang, et al.*2026*
398. **[SGA-MCTS: Decoupling Planning from Execution via Training-Free Atomic Experience Retrieval](https://md.research.elamur.ai/free/en/papers/xie-2026-sga-mcts-decoupling-planning-execution/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xin Xie, Dongyun Xue, Wuguannan Yao, et al.*2026*
399. **[SkMTEB: Slovak Massive Text Embedding Benchmark and Model Adaptation](https://md.research.elamur.ai/free/en/papers/suppa-2026-skmteb-slovak-massive-text-embedding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Marek Suppa, Andrej Ridzik, Daniel Hládek, et al.*2026*
400. **[Small Agents, Big Gains: Journey-Aware and Critic-Guided Simulation for Long-Horizon Shopping Dialogues](https://md.research.elamur.ai/free/en/papers/ping-2026-small-agents-big-gains-journey/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qing Ping, Changyou Chen, Binxuan Huang*2026*

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