Brunswick, New Jersey, 23rd January 2026, ZEX PR WIRE, A newly published study in the Findings of the Association for Computational Linguistics: EMNLP 2025 introduces EmByte, a natural language processing (NLP) model that dramatically reduces embedding memory usage while improving accuracy and strengthening privacy protections. Developed by Jia Xu Stevens and collaborators, EmByte demonstrates that modern language models can operate with approximately 1/10 of the embedding memory used by conventional subword-based systems, while also achieving better task accuracy and up to 3-fold improvements in privacy resistance.

The EMNLP 2025 Findings paper presents EmByte as a byte-level embedding framework that replaces large subword vocabularies with compact, decomposed representations. This design significantly reduces the memory footprint of embedding layers—traditionally one of the largest components of NLP models—without increasing sequence length or computational overhead.

Small Embeddings, Strong Results

Embedding tables in standard NLP models often contain tens or hundreds of thousands of entries, consuming large amounts of memory and posing privacy risks when exposed to inversion or reconstruction attacks. EmByte addresses these challenges by representing text at the byte level and applying a decomposition-and-compression learning strategy that preserves semantic information while occupying much less space.

Experimental results reported in the EMNLP 2025 Findings paper show that EmByte:

• Uses about 5% of the embedding memory required by typical subword models
  

• Matches or exceeds accuracy on benchmark tasks such as classification, language modeling, and machine translation
  

• Provides significantly stronger privacy protection, making it substantially harder to reconstruct original text from embeddings or gradients
  

These results demonstrate that embedding size reduction does not require sacrificing model quality. Instead, careful design of the representation can improve both performance and security.

Privacy by Design

A key contribution of EmByte is its impact on privacy. Because byte-level embeddings avoid direct one-to-one mappings between tokens and semantic units, they reduce the amount of recoverable information stored in each vector. This makes common attacks—such as embedding inversion and gradient leakage—far less effective.

According to the EMNLP 2025 Findings results, EmByte’s structure provides roughly three times stronger resistance to privacy attacks than standard embedding approaches. This makes the model especially relevant for sensitive domains such as healthcare, finance, and personal communications, where data protection is critical.

Built on a Long Line of Research

The EmByte framework builds directly on Jia Xu Stevens’s long trajectory of researchin efficient text representation, segmentation, and multilingual processing. Earlier work laid the conceptual and technical foundations for compact and robust language modeling, including:

• Research on byte-based and subword modeling for multilingual and low-resource settings (EMNLP 2020; COLING 2022)
  

• Studies on Chinese word segmentation and synchronous modeling that emphasized efficient representation and structural alignment
  

• Early work in machine translation and speech-to-text processing that explored minimal and adaptive linguistic units
  

Together, these contributions reflect a consistent research direction: reducing redundancy in language representations while improving robustness, generalization, and security.

Implications for Real-World AI

By drastically reducing the memory requirements for embedding, EmByte enables the deployment of capable NLP models in environments with strict memory and privacy constraints. This includes:

• On-device and edge AI systems
  

• Privacy-sensitive enterprise and government applications
  

• Large-scale systems where embedding tables dominate memory cost
  

EmByte also aligns with a broader shift in AI research away from purely scaling model size and toward architectural efficiency and responsible design.

Looking Forward

With its publication in Findings of EMNLP 2025, EmByte is positioned to influence future work on embedding design, privacy-preserving NLP, and efficient language models. The results suggest that smaller, more secure representations can outperform larger ones when designed with structure and learning dynamics in mind.

As language models continue to be integrated into everyday technology, approaches like EmByte point toward a future in which accuracy, efficiency, and privacy improve together rather than compete.

About Jia Xu Stevens

Jia Xu Stevens is a researcher in natural language processing and machine learning whose work spans efficient language representation, multilingual modeling, privacy-preserving AI, and text segmentation. Over the course of her research career, Jia Xu Stevens has contributed foundational and applied work across multiple generations of NLP systems, from early machine translation and word segmentation frameworks to modern embedding compression and privacy-aware language models.

Her research has been published at leading international venues, including EMNLP, COLING, IWSLT, and other ACL-affiliated conferences. A recurring theme in her work is the design of compact, structured language representations that improve robustness, generalization, and efficiency while reducing memory usage and privacy risks. This line of research includes early studies on synchronous segmentation and translation, later advances in subword and byte-based modeling, and recent innovations in embedding compression and privacy resistance.

Jia Xu Stevens’ work emphasizes architectural efficiency over brute-force scaling, demonstrating that carefully designed representations can outperform larger models while enabling safer real-world deployment. Her recent research continues to focus on building language technologies that are accurate, lightweight, and privacy-conscious, with applications ranging from multilingual NLP to on-device and resource-constrained AI systems.

• Why most ecommerce campaigns swing too hard—and what to do instead.

Seattle, Washington, 23rd January 2026, ZEX PR WIRE, If you run paid ads, you’ve probably felt it: performance looks great one week, tanks the next. Creative stops working without warning. Your ROAS drops, but nothing obvious changed. For brands trying to grow, this kind of instability isn’t just stressful—it’s expensive.

Brandon Hilleary, a ecommerce growth consultant, sees this kind of volatility all the time. He works with direct-to-consumer brands —companies that rely on Meta, TikTok, and Google Ads to drive growth but feel like they’re flying blind.

“A lot of the instability people feel is baked into how their system works,” Hilleary says. “It’s not always the algorithm or the market. Sometimes the problem is that there’s no structure holding things up.”

He focuses on helping teams put that structure in place. That doesn’t mean building complicated dashboards or obsessing over attribution. It means stepping back, simplifying, and fixing three core issues: creative fatigue, test chaos, and knee-jerk budget shifts.

Creative Fatigue Is More Predictable Than You Think

Hilleary sees creative burnout as the number one reason campaigns start to slip. Brands usually don’t notice until results have already fallen off.

“The same ads keep running. Maybe they worked last month, but now people have seen them three times and they scroll right past,” he explains. “Instead of having new ideas ready, the team scrambles to make small edits—change a headline, swap the first three seconds—and hopes that’s enough.”

It rarely is.

He helps brands build a simple creative rhythm—introducing one or two new concepts every few weeks before fatigue sets in. These aren’t cosmetic tweaks. Each one explores a different angle, like showing how the product works, telling a customer story, or teaching something useful.

When you rotate fresh, well-thought-out ideas into your campaigns on a set schedule, performance gets more stable. There’s always something new to test—and something proven to fall back on.

Testing Doesn’t Work When It’s Random

Another reason campaigns get shaky? Disorganized testing.

“A lot of teams say they’re testing, but what they’re really doing is launching a bunch of stuff at once and hoping something sticks,” Hilleary says. “That’s not testing. That’s gambling.”

Instead, he sets up lightweight testing systems. One or two concepts go into test mode. The team decides in advance what they’re trying to learn and what success looks like. Results are reviewed on a schedule. If something works, it moves into the main campaign. If not, it’s logged and replaced.

This kind of structure reduces wasted budget and keeps creative testing from disrupting performance. It also builds institutional knowledge over time, which makes every round of testing smarter than the last.

The Budget Whiplash Problem

When results dip, many founders and ad buyers make sudden changes to spend—cutting budgets hard or turning off entire campaigns.

“It’s understandable,” Hilleary says. “But it’s also part of the volatility problem.”

He helps teams move away from daily decisions and toward weekly or biweekly pacing. Budgets are adjusted based on trends, not isolated bad days. Review windows are built into the calendar. That buffer gives the algorithm time to adjust and gives the team time to think clearly.

He also encourages brands to define rules ahead of time—when to scale, when to hold, and what metrics matter most. That way, no one is guessing under pressure.

What Stable Growth Looks Like

In a post-privacy world, advertising feels harder than it used to. You can’t see everything that’s happening. Attribution is messier. Audiences are broader. But that doesn’t mean performance has to feel chaotic.

Hilleary’s work helps brands build systems that absorb the noise.

• Creative stays fresh and on schedule
  
• Tests are limited, tracked, and purposeful
  
• Budgets move based on real patterns, not panic
  

When those pieces are in place, everything calms down. Teams stop chasing short-term spikes. Founders trust the process. Results may not always be flashy, but they stop falling apart without warning.

“It’s not about making volatility disappear,” Hilleary says. “It’s about building a setup where volatility doesn’t ruin your month.”

For growing ecommerce brands in Seattle and beyond, that shift can make the difference between unpredictable plateaus and consistent, confident progress.

Nashville, Tennessee, 23rd January 2026, ZEX PR WIRE, Tennessee United for Human Rights took part in Nashville’s annual MLK Day March and Convocation this past Monday, joining thousands of community members in honoring the legacy of Dr. Martin Luther King Jr. through education, unity, and action.

As participants gathered to reflect on Dr. King’s enduring vision of justice and equality, volunteers with Tennessee United for Human Rights engaged attendees with educational materials highlighting the 30 articles of the Universal Declaration of Human Rights. The organization focused on helping individuals understand that human rights are not abstract ideals, but practical principles meant to guide everyday life.

Throughout the event, volunteers spoke with families, students, faith leaders, and civic groups about how human rights education empowers communities to stand against discrimination, violence, and injustice. Many attendees expressed appreciation for learning how these universal rights connect directly to Dr. King’s lifelong work for dignity and equal opportunity for all.

“Dr. King believed deeply in the idea that injustice anywhere threatens justice everywhere,” said a representative of Tennessee United for Human Rights. “Human rights education gives people the knowledge to recognize injustice and the tools to do something about it. Being part of this MLK Day observance was a meaningful way to continue that mission.”

The MLK Day March and Convocation brought together a wide range of organizations committed to service and social progress, reinforcing the importance of collective responsibility in building a more just society.

Tennessee United for Human Rights continues to provide free educational resources, workshops, and community outreach programs across Middle Tennessee, with the goal of creating a culture rooted in mutual respect, understanding, and equality.

For more information about upcoming events or human rights educational programs, visit tnuhr.org.