---
title: "Who cites Tamara L. Berg — page 2 — 759 papers of our library"
description: "759 papers of the Elamur Research library cite the works of Tamara L. Berg, found in their bibliographies · page 2 of 2 · 101–124; the most…"
canonical: "https://research.elamur.ai/free/en/authors/tamara-l-berg/cited-by/page/2/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tamara-l-berg/cited-by/page/2/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Tamara L. Berg](https://md.research.elamur.ai/free/en/authors/tamara-l-berg/) / [cited by](https://md.research.elamur.ai/free/en/authors/tamara-l-berg/cited-by/) / page 2

# Who cites Tamara L. Berg

1,061 citations of their works from 759 papers of our library (of the 149,439 whose bibliographies we read) · 124 with a page here, the most cited first · page 2 of 2 · 101–124 · [← Tamara L. Berg](https://md.research.elamur.ai/free/en/authors/tamara-l-berg/)

[← prev](https://md.research.elamur.ai/free/en/authors/tamara-l-berg/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/tamara-l-berg/cited-by/) **2**

101. [**Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation Proceedings of the Reasoning and Interaction Conference (ReInAct 2021)**Simeon Schüz, Sina Zarrieß*2021 · 3 citations*](https://md.research.elamur.ai/free/en/papers/schuz-2021-decoupling-pragmatics-discriminative-decoding-referring/)
102. **[CoV: Chain-of-View Prompting for Spatial Reasoning](https://md.research.elamur.ai/free/en/papers/zhao-2026-cov-chain-view-prompting-spatial/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoyu Zhao, Akide Liu, Zeyu Zhang, et al.*2026 · 2 citations*
103. [**Referring Expressions with Rational Speech Act Framework: A Probabilistic Approach**Hieu Le, Taufiq Daryanto, Fabian Zhafransyah, et al.*2022 · 2 citations*](https://md.research.elamur.ai/free/en/papers/le-2022-referring-expressions-rational-speech-act/)
104. **[Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language Models](https://md.research.elamur.ai/free/en/papers/oi-2026-multi-modal-multi-task-multi/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Masanari Oi, Masahiro Kaneko, Naoaki Okazaki, et al.*2026 · 1 citation*
105. **[TRACE: Evidence Grounding-Guided Multi-Video Event Understanding and Claim Generation](https://md.research.elamur.ai/free/en/papers/yan-2026-trace-evidence-grounding-guided-multi/) [Workshop on Multimodal Augmented Generation via Multimodal Retrieval](https://md.research.elamur.ai/free/en/venues/magmar/)**Pengyu Yan, Akhil V S S Gorugantu, Mahesh Bhosale, et al.*2026 · 1 citation*
106. **[AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation](https://md.research.elamur.ai/free/en/papers/qian-2026-anchorseg-language-grounded-query-banks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rui Qian, Chuanhang Deng, Qiang Huang, et al.*2026*
107. **[Asymmetric Relational-Geometry Driven Universal Adversarial Perturbations for Vision-Language Models](https://md.research.elamur.ai/free/en/papers/ye-2026-asymmetric-relational-geometry-driven-universal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaxin Ye, Weihai Li, Ying Wang, et al.*2026*
108. **[Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/phan-2026-beyond-reasoning-gains-mitigating-general/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hoang Phan, Xianjun Yang, Yuanshun Yao, et al.*2026*
109. **[Common Objects Out of Context (COOCo): Investigating Multimodal Context and Semantic Scene Violations in Referential Communication](https://md.research.elamur.ai/free/en/papers/merlo-2026-common-objects-out-context-cooco/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Filippo Merlo, Ece Takmaz, Wenkai Chen, et al.*2026*
110. **[CoreGaze: Core Subgraph-Driven Visual Gaze Diffusion for Training-Free Referring Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/yi-2026-coregaze-core-subgraph-driven-visual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyang Yi, Jing Chen, Yuru Bao, et al.*2026*
111. **[Efficient Visual Grounding in VQA via Question-Guided Sparse Attention](https://md.research.elamur.ai/free/en/papers/yadla-2026-efficient-visual-grounding-vqa-question/) [Workshop on Advances in Language and Vision Research (ALVR)](https://md.research.elamur.ai/free/en/venues/alvr/)**Prasanth Yadla*2026*
112. **[Frame2KG: A Benchmark and Evaluation Toolkit for Interpretable Frame-to-Graph Generation](https://md.research.elamur.ai/free/en/papers/watson-2026-frame2kg-benchmark-evaluation-toolkit-interpretable/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Lewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.*2026*
113. **[From Attenuation to Attention: Variational Information Flow Manipulation for Fine-Grained Visual Perception](https://md.research.elamur.ai/free/en/papers/zhu-2026-attenuation-attention-variational-information-flow/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jilong Zhu, Yang Feng*2026*
114. **[From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual Segmentation](https://md.research.elamur.ai/free/en/papers/wang-2026-words-pixels-comprehensive-survey-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yizhou Wang, Mang Tik Chiu, Lingzhi Zhang, et al.*2026*
115. **[GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual Agents](https://md.research.elamur.ai/free/en/papers/wang-2026-gameplayqa-benchmarking-framework-decision-dense/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yunzhe Wang, Runhui Xu, Kexin Zheng, et al.*2026*
116. **[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*
117. **[How Do Inpainting Artifacts Propagate to Language?](https://md.research.elamur.ai/free/en/papers/yashwante-2026-how-do-inpainting-artifacts-propagate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pratham Yashwante, Davit Abrahamyan, Shresth Grover, et al.*2026*
118. **[L2Dir: Integrating L2-Norm and Directional Alignment for Unsupervised Contrastive Representation Learning in Multimodal Retrieval](https://md.research.elamur.ai/free/en/papers/zong-2026-l2dir-integrating-l-2-norm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyu Zong, Rui Dai, Hongzhu Yi, et al.*2026*
119. **[MVP: Enhancing Video Large Language Models via Self-supervised Masked Video Prediction](https://md.research.elamur.ai/free/en/papers/sun-2026-mvp-enhancing-video-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaokun Sun, Zezhong Wu, Zewen Ding, et al.*2026*
120. **[ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding](https://md.research.elamur.ai/free/en/papers/xueyun-2026-roma-real-time-omni-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tian Xueyun, Wei Li, Bingbing Xu, et al.*2026*
121. **[SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter](https://md.research.elamur.ai/free/en/papers/mok-2026-smile-next-teaching-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lee Jung-Mok, Kim Sung-Bin, Joohyun Chang, et al.*2026*
122. **[v-HUB: A Benchmark for Video Humor Understanding from Vision and Sound](https://md.research.elamur.ai/free/en/papers/shi-2026-v-hub-benchmark-video-humor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengpeng Shi, Yanpeng Zhao, Jianqun Zhou, et al.*2026*
123. **[VIGiA: Instructional Video Guidance via Dialogue Reasoning and Retrieval](https://md.research.elamur.ai/free/en/papers/silva-2026-vigia-instructional-video-guidance-dialogue/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Diogo Glória-Silva, David Semedo, Joao Magalhaes*2026*
124. **[Survey on Vision-language Pre-training (视觉语言预训练综述)](https://md.research.elamur.ai/free/en/papers/yin-2022-vision-language-pre/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Jiong Yin (殷炯), Zhedong Zhang (张哲东), Yuhan Gao (高宇涵), et al.*2022*

[← prev](https://md.research.elamur.ai/free/en/authors/tamara-l-berg/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/tamara-l-berg/cited-by/) **2**

635 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/tamara-l-berg/) — Tamara L. Berg