---
title: "Who cites Nicolas Usunier — page 4 — 2,650 citing papers"
description: "2,650 papers of the Elamur Research library cite the works of Nicolas Usunier, found in their bibliographies · page 4 of 4 · 301–374; the most…"
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---
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# Who cites Nicolas Usunier

2,664 citations of their works from 2,650 papers of our library (of the 149,439 whose bibliographies we read) · 374 with a page here, the most cited first · page 4 of 4 · 301–374 · [← Nicolas Usunier](https://md.research.elamur.ai/free/en/authors/nicolas-usunier/)

[← prev](https://md.research.elamur.ai/free/en/authors/nicolas-usunier/cited-by/page/3/) [1](https://md.research.elamur.ai/free/en/authors/nicolas-usunier/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/nicolas-usunier/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/authors/nicolas-usunier/cited-by/page/3/) **4**

301. [**From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey arXiv:2108.11451**Giuseppe Marra, Sebastijan Dumančić, Robin Manhaeve, et al.*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/marra-2021-statistical-relational-neurosymbolic-artificial/)
302. **[Aligning Large Language Models via Fully Self-Synthetic Data](https://md.research.elamur.ai/free/en/papers/yin-2026-aligning-large-language-models-fully/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shangjian Yin, Zhepei Wei, Xinyu Zhu, et al.*2026 · 2 citations*
303. **[Attention Basin: Why Contextual Position Matters in Large Language Models](https://md.research.elamur.ai/free/en/papers/yi-2026-attention-basin-why-contextual-position/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihao Yi, Zhenqing Ling, Delong Zeng, et al.*2026 · 2 citations*
304. **[Joint Knowledge Base Completion and Question Answering by Combining Large Language Models and Small Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-joint-knowledge-base-completion-question/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yinan Liu, Dongying Lin, Sigang Luo, et al.*2026 · 2 citations*
305. **[MultiFileTest: A Multi-File-Level LLM Unit Test Generation Benchmark and Impact of Error Fixing Mechanisms](https://md.research.elamur.ai/free/en/papers/wang-2026-multifiletest-multi-file-level-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yibo Wang, Congying Xia, Wenting Zhao, et al.*2026 · 2 citations*
306. **[RedCoder: Automated Multi-Turn Red Teaming for Code LLMs](https://md.research.elamur.ai/free/en/papers/mo-2026-redcoder-automated-multi-turn-red/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenjie Jacky Mo, Qin Liu, Xiaofei Wen, et al.*2026 · 2 citations*
307. **[Scaling Laws for Code: Every Programming Language Matters](https://md.research.elamur.ai/free/en/papers/yang-2026-scaling-laws-code-every-programming/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jian Yang, Shuyue Guo, Linzheng Chai, et al.*2026 · 2 citations*
308. **[XOXO: Stealthy Cross-Origin Context Poisoning Attacks against AI Coding Assistants](https://md.research.elamur.ai/free/en/papers/storek-2026-xoxo-stealthy-cross-origin-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Adam Štorek, Mukur Gupta, Noopur Bhatt, et al.*2026 · 2 citations*
309. **[From Individual to Common: An Early Exploration of Consensus in Non-verifiable Data for Balanced Preference Optimization](https://md.research.elamur.ai/free/en/papers/yin-2026-individual-common-early-exploration-consensus/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shangjian Yin, Zhouxing Shi*2026 · 1 citation*
310. **[LaMPE: Length-aware Multi-grained Positional Encoding for Adaptive Long-context Scaling Without Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-lampe-length-aware-multi-grained/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sikui Zhang, Guangze Gao, Ziyun Gan, et al.*2026 · 1 citation*
311. **[RA-RRG: Multimodal Retrieval-Augmented Radiology Report Generation with Key Phrase Extraction](https://md.research.elamur.ai/free/en/papers/park-2026-ra-rrg-multimodal-retrieval-augmented/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jonggwon Park, Byungmu Yoon, Soobum Kim, et al.*2026 · 1 citation*
312. **[RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories](https://md.research.elamur.ai/free/en/papers/wang-2026-realsec-bench-benchmark-evaluating-secure/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yanlin Wang, Ziyao Zhang, Chong Wang, et al.*2026 · 1 citation*
313. **[SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/ueda-2026-scan-semantic-document-layout-analysis/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nobuhiro Ueda, Yuyang Dong, Krisztián Boros, et al.*2026 · 1 citation*
314. **[UCoder: Unsupervised Code Generation by Internal Probing of Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-ucoder-unsupervised-code-generation-internal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiajun Wu, Jian Yang, Wei Zhang, et al.*2026 · 1 citation*
315. **[V-GameGym: Visual Game Generation for Code Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-v-gamegym-visual-game-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wei Zhang, Jian Yang, Renshuai Tao, et al.*2026 · 1 citation*
316. **[Accelerating LLM Fine-Tuning via Embedding Knowledge Transfer](https://md.research.elamur.ai/free/en/papers/peng-2026-accelerating-llm-fine-tuning-embedding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Meishu Peng, Ziyue Zhang, Yi Zhang, et al.*2026*
317. **[Across Programming Language Silos: A Study on Cross-Lingual Retrieval-Augmented Code Generation](https://md.research.elamur.ai/free/en/papers/zhu-2026-across-programming-language-silos-study/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qiming Zhu, Jialun Cao, Xuanang Chen, et al.*2026*
318. **[Adapting Vision-Language Models for E-commerce Understanding at Scale](https://md.research.elamur.ai/free/en/papers/nulli-2026-adapting-vision-language-models-e/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Matteo Nulli, Vladimir Orshulevich, Tala Bazazo, et al.*2026*
319. **[Adaptive Text2GQL: Integrating Structural Twig Linking and Evolutionary In-Context Learning](https://md.research.elamur.ai/free/en/papers/niu-2026-adaptive-text2gql-integrating-structural-twig/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fang Niu, Chaokun Wang, Hang Zhang, et al.*2026*
320. **[AIRCoder: Adaptive Integration of Multi-dimensional Retrieval for Repository-level Code Completion](https://md.research.elamur.ai/free/en/papers/shi-2026-aircoder-adaptive-integration-multi-dimensional/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuanqi Shi, Miao Gao, Zhiqiang Gao*2026*
321. **[Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization](https://md.research.elamur.ai/free/en/papers/rahman-2026-aligning-text-code-vision-multi/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Mizanur Rahman, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, et al.*2026*
322. **[ArkRepoBench: A Repository-Level Code Completion Benchmark for HarmonyOS Development](https://md.research.elamur.ai/free/en/papers/wang-2026-arkrepobench-repository-level-code-completion/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yanlin Wang, Bowen Zhang, Yanli Wang, et al.*2026*
323. **[CodeRipple: Wavelet-Based Detection of LLM-Generated Code](https://md.research.elamur.ai/free/en/papers/yao-2026-coderipple-wavelet-based-detection-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingyu Yao, Zhendong Mao, Quan Wang*2026*
324. **[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*
325. **[Combining Semantic Embeddings and Knowledge Graphs for Identifying Decision Patterns in Brazilian Judicial Decisions](https://md.research.elamur.ai/free/en/papers/silva-2026-combining-semantic-embeddings-knowledge-graphs/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Gustavo Soares Silva, Omar Andres Carmona Cortes, Fábio Manoel França Lobato, et al.*2026*
326. **[CompTab: A Comprehensive Benchmark for Real-World TableQA with Complex Reasoning and Irregular Tables](https://md.research.elamur.ai/free/en/papers/yang-2026-comptab-comprehensive-benchmark-real-world/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Yang, Wei Du, Jie Wang, et al.*2026*
327. **[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*
328. **[Data Foundations of Long-Context Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/sun-2026-data-foundations-long-context-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zechen Sun, Yuyang Sun, Zhaochen Su, et al.*2026*
329. **[Do NOT Classify and Count: Hybrid Attribute Control Success Evaluation](https://md.research.elamur.ai/free/en/papers/saaro-2026-do-not-classify-count-hybrid/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Felix Matthias Saaro, Pius von Däniken, Mark Cieliebak, et al.*2026*
330. **[EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment](https://md.research.elamur.ai/free/en/papers/nan-2026-ea-agent-structured-multi-step/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixuan Nan, Xixun Lin, Yanmin Shang, et al.*2026*
331. **[From Conversation to Evaluation: Benchmarking LLMs on Development Knowledge via SimpleDevQA](https://md.research.elamur.ai/free/en/papers/zhang-2026-conversation-evaluation-benchmarking-llms-development/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jing Zhang, Lianghong Guo, Yanlin Wang, et al.*2026*
332. **[From Logical to Computational Sparsity: Structure-Aware Block-Sparse Attention for Long-Code Completion](https://md.research.elamur.ai/free/en/papers/wang-2026-logical-computational-sparsity-structure-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yanli Wang, Yanlin Wang, Bowen Zhang, et al.*2026*
333. **[GigaCheck: Detecting LLM-generated Content via Object-Centric Span Localization](https://md.research.elamur.ai/free/en/papers/tolstykh-2026-gigacheck-detecting-llm-generated-content/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Irina Tolstykh, Aleksandra Tsybina, Sergey Yakubson, et al.*2026*
334. **[GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/xie-2026-gs-quant-granular-semantic-generative/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qizhuo Xie, Yunhui Liu, Yu Xing, et al.*2026*
335. **[InsAT: Instance-aware Semantic Alignment and Transfer from Human–Object Keypoints for Zero-to-Few-shot Action Understanding](https://md.research.elamur.ai/free/en/papers/tsutsukawa-2026-insat-instance-aware-semantic-alignment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kazuki Tsutsukawa*2026*
336. **[Learning from Failures: Error Notebook-guided Secure Code Generation](https://md.research.elamur.ai/free/en/papers/zhong-2026-learning-failures-error-notebook-guided/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinyu Zhong, Peng Lan, Zhifang Liao*2026*
337. **[Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula](https://md.research.elamur.ai/free/en/papers/shuai-2026-learning-near-misses-error-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhihao Shuai, Yiyun Chen, Maolin Ma, et al.*2026*
338. **[Learning to Think on Hypergraph: HyperCoT for Structure-Guided N-ary Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/yang-2026-learning-think-hypergraph-hypercot-structure/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mengxue Yang, Jinming Li, Chun Yang, et al.*2026*
339. **[Linguistic Initialization for Inductive Reasoning in Heterogeneous Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/pasquini-2026-linguistic-initialization-inductive-reasoning-heterogeneous/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Daniele Pasquini, Danilo Croce, Roberto Basili*2026*
340. **[MAGIC: Deep Geometric Evolution with Structural Consensus for Temporal Knowledge Graph Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2026-magic-deep-geometric-evolution-structural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chengao Liu, Yuan Li, Yingze Wang, et al.*2026*
341. **[MAKI: Multi-layer Aligned Knowledge Injection for Structure-aware Knowledge Graph Completion with Large Language Models](https://md.research.elamur.ai/free/en/papers/xie-2026-maki-multi-layer-aligned-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiwen Xie, Xin Wang, Guangyou Zhou, et al.*2026*
342. **[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*
343. **[MessToClean: Evidence-Grounded Structure-Preserving Reconstruction for Real-World Degraded Exam Paper Images](https://md.research.elamur.ai/free/en/papers/tuo-2026-messtoclean-evidence-grounded-structure-preserving/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiayi Tuo, Cheng Tang, Zihan Wang, et al.*2026*
344. **[MuSe: Multi-Stage Graph Reasoning via Vision-Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-muse-multi-stage-graph-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanyu Wang, Xu Chu, Zhijie Tan, et al.*2026*
345. **[Not All Modalities at Once: Dynamic Dropout and Bidirectional Fusion for Robust Multi-modal Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/peng-2026-not-all-modalities-once-dynamic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiashun Peng, Fu Zhang, Hongzhi Chen, et al.*2026*
346. **[Overview of EvaHan2026: The First International Evaluation of Ancient Chinese OCR and Layout Analysis](https://md.research.elamur.ai/free/en/papers/wang-2026-overview-evahan2026-first-international-evaluation/) [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/)**Dongbo Wang, Dongmei Zhu, Jieqiong Li, et al.*2026*
347. **[Parallel-SFT: Improving Zero-Shot Cross-Programming-Language Transfer for Code RL](https://md.research.elamur.ai/free/en/papers/wu-2026-parallel-sft-improving-zero-shot/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhaofeng Wu, Shiqi Wang, Boya Peng, et al.*2026*
348. **[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*
349. **[PerfCoder: Large Language Models for Interpretable Code Performance Optimization](https://md.research.elamur.ai/free/en/papers/yang-2026-perfcoder-large-language-models-interpretable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiuding Yang, Shengyao Lu, Hongxuan Liu, et al.*2026*
350. **[Program Structure-aware Language Models: Targeted Software Testing beyond Textual Semantics](https://md.research.elamur.ai/free/en/papers/tran-2026-program-structure-aware-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Khang Tran, Khoa Nguyen, Cristian Borcea, et al.*2026*
351. **[QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-queueedit-structural-self-correction-sequential/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Taolin Zhang, Haidong Kang, Dongyang Li, et al.*2026*
352. **[Risk-Controlled Event-Driven Cascading Updates for Knowledge Graph Consistency Restoration](https://md.research.elamur.ai/free/en/papers/ni-2026-risk-controlled-event-driven-cascading/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bo Ni, Qinwen Ge, Haowei Fu, et al.*2026*
353. **[River-LLM: Large Language Model Seamless Exit Based on KV Share](https://md.research.elamur.ai/free/en/papers/shen-2026-river-llm-large-language-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yingtao Shen, An Zou*2026*
354. **[SeDev: Structured Semantic Exploration for LLM-Driven Code Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-sedev-structured-semantic-exploration-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ronghui Yang, Jie Liu, Jiajie Zeng, et al.*2026*
355. **[SEMIROUTER: Sparse-Data Enhanced Routing for Adaptive Multi-LLM System](https://md.research.elamur.ai/free/en/papers/wang-2026-semirouter-sparse-data-enhanced-routing/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Zijie Wang, Xinyu Yan, Che Wang, et al.*2026*
356. **[Simulating Sense Extension](https://md.research.elamur.ai/free/en/papers/maudslay-2026-simulating-sense-extension/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Rowan Hall Maudslay, Simone Teufel*2026*
357. **[SMART: Semantic Header Flattening and Pseudo-Code-Style Reasoning for LLM-based Complex Table Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2026-smart-semantic-header-flattening-pseudo/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yongshuo Zhang, Jixiong Chen, Kaihe xu, et al.*2026*
358. **[SpecBound: Adaptive Bounded Self-Speculation with Layer-wise Confidence Calibration](https://md.research.elamur.ai/free/en/papers/wen-2026-specbound-adaptive-bounded-self-speculation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhuofan Wen, Yang Feng*2026*
359. **[SPIDE: Serial and Parallel Intertwined Speculative Decoding](https://md.research.elamur.ai/free/en/papers/xu-2026-spide-serial-parallel-intertwined-speculative/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenru Xu, Peixuan Xu, Ziqi Yang, et al.*2026*
360. **[SYMDIREC: A Neuro-Symbolic Divide-Retrieve-Conquer Framework for Enhanced RTL Synthesis and Summarization](https://md.research.elamur.ai/free/en/papers/vijayaraghavan-2026-symdirec-neuro-symbolic-divide-retrieve/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Prashanth Vijayaraghavan, Apoorva Nitsure, Luyao Shi, et al.*2026*
361. **[SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair](https://md.research.elamur.ai/free/en/papers/zhang-2026-synthfix-adaptive-neuro-symbolic-code/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yifan Zhang, Jieyu Li, Kexin Pei, et al.*2026*
362. **[Table-R1: Region-based Reinforcement Learning for Table Understanding](https://md.research.elamur.ai/free/en/papers/wu-2026-table-r1-region-based-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenhe Wu, Jian Yang, Zhongjiang He, et al.*2026*
363. **[The Challenge of Identifying the Origin of Black-Box Large Language Models](https://md.research.elamur.ai/free/en/papers/yang-2026-challenge-identifying-origin-black-box/) [Workshop on Privacy in Natural Language Processing](https://md.research.elamur.ai/free/en/venues/privatenlp/)**Ziqing Yang, Yixin Wu, Yun Shen, et al.*2026*
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